I am Senior Data Engineer at Accenture and PhD Candidate in Engingeering sciences. I have more than 10 years of experience in working with Big Data applications. I am python enthusiast and using it for two decades.
- EGTL data-processing model prototype using Python
Alius Petraška is an experienced Architect with a proven track record of delivering world-class enterprise solutions and leading process automation and transformation initiatives. During his tenure at IBM, Alius played a pivotal role in implementing innovative technologies for globally recognized enterprises, driving operational efficiency and optimizing business processes at scale.
Currently, Alius serves as the CTO and technology driver behind isLucid, a cutting-edge company leveraging AI to enhance spoken communication and integrate it seamlessly into customers' internal systems. Under his leadership, isLucid’s solutions are automating processes in contact centers across telecom, insurance, and retail industries, significantly boosting operational efficiency and enhancing customer experiences.
With deep technical expertise and a passion for innovation, Alius is committed to fostering collaboration, sharing insights, and driving transformative change across industries.
- How We Outperformed Microsoft, Google, and OpenAI in Speech-to-Text
About me: :sweat_smile:
My name is Andrii Soldatenko. I am a sr. software engineer originally from Ukraine :flag-ua:, and I am currently living in :flag-at: . Public speaker (KCD, FOSDEM, GoDays, PyCons) and OSS contributor (Apache Airflow, Golang, OpenAPI, docker). I am a big fan of debuggers, Neovim, Rust
and I have a blog at http://asoldatenko.org. I am a CrossFit AMATEUR. Big fun of hand walking and different gymnastics :)
Python developer in the day, Go developer (gopher) under the hood. Big fan of full-text search and graph databases.
Contributed to different open source projects:
Apache Airflow (airflow helm chart and other related projects).
docker registry
pyhelm, aiohttp-swagger, mezzanine
chalice, requests, aiohttp tutorial
sendgrid-python and sendgrid-django
OpenAPI v3 specification, fix Go docs
Speaker at KCD Austria 2023, FOSDEM 2020 and 2023 (Go and Rust dev rooms), GoDays 2020, PyCaribbean, PyCon Israel, PyCon Italia 2017 and 2022, EuroPython 2016 and 2022, PyCon Ukraine 2014, OdessaPy and lot’s of local meetups.
- Code review the right way
Antanas Baltrušaitis is a versatile business and data analytics professional with 15+ years of experience, holding degrees in Financial Mathematics and Innovation Management. His career spans prominent roles in Baltic banking, including positions at Nordea and Luminor, where he served as a Senior Strategy Analyst and led the Data and Analytics department. He also headed the Management Reporting team at Girteka Logistics.
Currently a Senior Analytics Engineer at Beyond Analysis and founder of Scoris (Lithuanian business database), he specializes in end-to-end analytics solutions. His expertise encompasses data engineering, BI development, web development, business strategy, and product development. He's proficient in various technologies including SQL, DBT, Azure Synapse, PowerBI, and web development frameworks.
- Leveraging Large Language Models for Automated Generation and Validation of Financial Descriptions for Lithuanian Companies
I’m a tech enthusiast helping world’s largest banks stay ahead of the curve. I’m all about empowering your passion by automating the ordinary - finding smarter ways to solve problems, streamline systems, and make technology work for us, not the other way around. Use the technology to free up time to experience the world and focus on what truly matters.
- Code Generation in Regulated Industries: Opportunities and Challenges
Antonis is a Software Engineer at Platform.sh, a Docker Captain and a Python lover and developer who helps teams embrace containers and improve their development workflow.
- Sync or async? Feel the magic of coroutines and the event loop in Django
Anwesha is a fellow at the Python Software Foundation and the Release Manager of Ansible. She works as a Software Engineer with the Ansible Engineering team at Red Hat. She led PyLadies efforts in India and now is an organizer at PyLadies Stockholm. You can follow her blog at https://anweshadas.in.
- Using Trusted Publishing to Ansible release
Aurimas has over a decade of expertise across various data-driven disciplines, including Data Analytics, Data Science, Machine Learning, Data Engineering, Cloud Engineering, and, most recently, AI Engineering. Most recently, he led product initiatives at Neptune, a leading SaaS platform for machine learning experiment tracking.
Passionate about bringing up the next generation of talent, Aurimas shares his knowledge through his social platforms, including the SwirlAI newsletter, where he educates professionals on cutting-edge topics in the data and AI space.
- Challenges and Opportunities of Agentic Systems: Present and Future
Engineer with a passion for open-source
Building apps for KAYAK
Based in Berlin
- How I tracked my stocks with Python
Brandon Rhodes is best known as a popular speaker at Python conferences, but his open source projects include C, Go, and even bits of JavaScript. His still maintains the old PyEphem astronomy module he wrote in the 1990s, but it’s his modern Skyfield astronomy library that is most popular with Python programmers who want to determine the positions of planets, comets, and satellites. His ‘Python Patterns’ web site gives programmers advice about which of the classic design patterns to use in Python and which to avoid. When away from the keyboard, he loves the outdoors and backpacking, for which his favorite destination is the Grand Canyon.
- Skip the Design Patterns: Architecting with Nouns and Verbs
Christian Heitzmann, MSc ETH CSE, is the founder and owner of SimplexaCode AG, based in Lucerne, Switzerland. He is a certified software developer in Java and Python, holding teaching diplomas in both Computer Science and Mathematics, as well as a CAS in Machine Learning. With over 20 years of experience in software development and 12 years of teaching Java, Python, mathematics, and algorithms, Christian is also a regular contributor to IT journals, sharing his expertise in the field.
- What We Can Learn from Exemplary Python Documentation
Christophe is a Senior Software Engineer at DataStax working on AI frameworks. Through his love for open source, he is also a LangChain Community Champion, an Apache Pulsar committer and a core team member of JHipster and OpenAPI-generator projects.
- Building multi-agent AI applications made easy with LangFlow
Daniel is a software engineer with a background in first, local, and then international and VC-backed startups. He's now the lead engineer at Reckon Digital, where he directs and coordinates several projects with clients such as the UN's World Food Programme.
- Inside the Black Box: The Anatomy of Virtual Environments
- Python Containers: Best Practices
Daria Lashkevich has more 15 years experience in computer vision and machine learning programming of applications in such areas as Automotive, Welding systems, Medical systems, Robotics
Daria has Master’s degree in Computer science (Artificial Intelligence) with honors , Moscow State Technical University by Bauman.
Join Accenture in 2017 Daria start working in Riga Liquid studio as Computer Vision Engineer to develop Innovative PoC and client project as Water color analyzer, Virtual Therapist and Migration chat-bot.
From 2021 Daria working as AI Architect in long-term client project in Automotive, Media Entertaiment, Health area to develop GenAI solutions based on LLM, RAG, AI Agents and Computer vision.
- GenAI for Clients: No pain, no gain
After finishing an engineering and finance degree at university, I joined a telco as an engineer and delivered data analytics for consumer customers for the first 2 years. Then I switched to product management and leadership where I ended up looking after several developer products. Once I launched a few of these products, I switched back to engineering, this time as an engineering leader for cloud products.
After several years at the telco, an opportunity came up to join Canonical, the makers of Ubuntu, where I have been for about 2 years now leading a team automating operations of data centres.
- I want to deploy my Flask app on Kubernetes, what are my options?
I’m an experienced machine learning engineer and software developer, with a strong background in Natural Language Processing. I hold a Ph.D from 2016 where I focused on semantic relationship extraction. Currently, I'm based in Berlin and I work as a NLP Engineer and Software Developer at deepset, where I contribute to the development of Haystack, an open-source framework for building end-to-end production-ready LLM-based applications
- Smarter Retrieval, Better Generation: Improving RAG Systems
David Masip is a Data Science Manager at Glovo. He works in AB testing, causal inference and ML, and maintains two python libraries (cluster-experiments: a library for end-2-end analysis of AB tests, including experiment design; pytest-slow-last: a pytest plugin that makes slower tests run in the end).
- cluster-experiments: A Python library for end-to-end A/B testing workflows
- Transforming REST APIs with Protobuf: Unlocking Performance and Flexibility
I'm a professional problem architect, by which I mean I attempt to unravel, undo, and unmake whatever it is that solution architects do, mostly with python. I'm a firm believer in complexity and harsh denier of learning from other peoples' mistakes.
Outside of my professional life I like to climb, cook, sing, dance, socialize, read, host DnD games, hike, eat, run, and try to make people laugh at conferences.
- Do Repeat Yourself
Cloud developer at EDB, the Postgres company.
Bristol, United Kingdom
I have been a cloud engineer for the last 9 years. Working in Golang for the last 6, and Python for the last 20 years. Before that I was a web developer. I have spoken at Kubecon, Djangocon.Eu and EuroPython as well as many times at local techie groups, including regularly at my local Golang meetup.
Currently I spend my time developing microservices for EDB's cross cloud Postgres AI product, built on our CNCF kubernetes postgres operator cloudnative-pg.
Plus the occasional Python automation. I am interested in improving DevX for the full lifecycle of Cloud development, and the cost and sustainability of cloud use.
- Cutting the price of Scraping Cloud Costs
Seasoned data scientist with experience in a wide variety of domains acquired during over a decade of professional work. Currently lead data science work at Vinted.
- When safety is non-negotiable - 3 stages of building safety using data & AI
Florian is based in Berlin and works as Software Engineer for Flatiron Health. Before joining Flatiron Health’s mission to improve and extend lives by learning from the experience of every person with cancer, he worked for eBay and Immobilienscout24. Florian loves traveling with his family, uses his little son as excuse to buy toys for himself and is passionate about software engineering, software architecture and punk rock.
- Testable data pipelines
- Accelerating privacy-enhancing data processing
Gábor Szárnyas is a developer relations advocate and technical writer at DuckDB Labs. He previously worked as an academic researcher on data processing systems. He obtained his PhD in software engineering and was a post-doctoral researcher at CWI Amsterdam, the birthplace of DuckDB. He is also a core contributor and board member of the LDBC non-profit company that defines benchmarks for graph data management systems.
- The evolution of data management techniques
Senior Data Scientist
8 years of data science experience, building and deploying models in domains such as facilities management, medical information, sports, document ai.
- Pydantic: Crafting confidence in AI apps
Hanna Danilovich is a Data Scientist in the R&D team at Revolut. She has extensive experience in data science, machine learning, and AI, with a background spanning insurance, banking, and fintech. At Revolut, Hanna focuses on advancing AI applications in financial services, enhancing risk assessment, decision-making, and driving innovation in areas like marketing and customer insights. She holds Master’s degrees in Econometrics and Informatics, as well as Finance and Banking, along with postgraduate studies in Deep Learning.
- From Raw Transactions to Insights: The Power of Embeddings in Fintech
Empirical economist, data nerd, erstwhile nomad, and coffee junkie. After living and working on a few continents, I have settled in Germany and immersed myself in econometrics, which led me to all things data. Specifically, monetary policy led to Bayesian models, which led to questioning everything I ever learned. I'm still following those and other questions that bother me so.
- Variable Selection: What your model can't tell you
I am a software engineer at Canonical, currently working to improve the experience of running complex business operations, using both Kubernetes and traditional machine clouds.
- I want to deploy my Flask app on Kubernetes, what are my options?
Passionate about all things data.
- Image deduplication using embeddings
JURGIS ZAGORSKAS (1977-09-08)
Assoc. prof.,
Vilnius Gediminas Technical University (VILNIUS TECH)
PROFESSIONAL SUMMARY
Experienced researcher and academic at Vilnius Gediminas Technical University (VILNIUS TECH), specializing in computer graphics, 3D modeling, Python programming, and data visualization. Focused on developing interactive 3D visualizations and applying AI and machine learning for data analysis and urban planning. Actively researching LiDAR data processing and geospatial applications for smart city development and digital mapping. Passionate about leveraging computational methods and advanced data visualization tools to address modern challenges in engineering, urban design, and environmental sustainability.
EDUCATION
Ph.D. in Engineering Sciences
Vilnius Gediminas Technical University (VILNIUS TECH), 2008
RESEARCH INTERESTS
• Computer Graphics & 3D Modeling – Python-based scripting for 3D visualization, modeling, and rendering techniques.
• Data Visualization & Interaction – Development of interactive data visualizations using 3D rendering and data-driven approaches for various applications.
• Machine Learning & AI for Data Analysis – Applying AI algorithms to analyze and predict patterns in complex datasets, including for smart urban planning.
• LiDAR & GIS Data Processing – Automated processing and visualization of LiDAR data for urban mapping, including the recognition of trees, buildings, and other city elements.
• Geospatial Data & Digital Mapping – Integrating geospatial data into digital models for urban analysis and decision-making.__________
ACADEMIC & TEACHING EXPERIENCE
Associate Professor / Researcher
Vilnius Gediminas Technical University (VILNIUS TECH) | [2008–Present]
• Teaching computer graphics, 3D modeling, engineering visualization, and Pyth
- Python in 3D computer graphics
Kushal Das is a public interest technologist working at Sunet (https://sunet.se) where he helps to build secure and privacy focused tools and services. He is CPython core developer & a director at the Python Software Foundation. He is also part of the core team of the Tor Project, and a long time contributor to Fedora Project. In 2004 he founded Linux Users' Group of Durgapur. He also helps out citizens/journalists/activists with digital security trainings. He regularly blogs at https://kushaldas.in.
- Ethics, Privacy and few other words
Laurynas is a machine learning engineer who has been working in the field for the last 10 years focusing on different data problems in verticals of telecommunications, human resources, cybersecurity and devops. He has great passion in automating ML pipelines and is a strong believer in the value of data. Most recently, he has been working in CAST AI where he spent great deal of time of making Kubernetes automation more intelligent using various methods of machine learning.
- Using feature stores to deliver awesome models
Software Engineer at Isomorphic Labs.
Driven & structured. Academic background in math; professional background across full data-stack.
- Automate Brag Document Writing with LLMs
Mantas Čepulkovskis is a data scientist specializing in applications of machine learning. He has held senior roles at CAST AI, IBM, and Danske Bank, developing ML solutions across various industries. He earned an MSc in Physics from the University of Copenhagen, specializing in theoretical quantum physics.
- Using feature stores to deliver awesome models
Mark Fukson is a Software Engineer at Revolut, leading the team responsible for building tools that empower data science workflows. With a degree in applied mathematics and a strong background in data science, he bridges the gap between data science and engineering, enabling informed decision-making and helping create high-quality, data science-oriented tools.
- Beyond Deployment: Continuously Adding Features to Drive Marginal Gains in Models
Matej is a Senior Technical Lead at Apify, where he leads the team developing the platform that enables developers to build, ship, and monetize automation tools, scrapers, and AI agents in the Apify Store. He is passionate about empowering developers and shaping the future of the developer economy. Outside of work, he enjoys rock climbing, hiking, and organizing outdoor camps for youth.
- Build, Deploy, Monetize: The Future of the Developer Economy
Mauro Pelucchi is Senior Data Scientist and Big Data Engineer responsible for the design of the “Real-Time Labour Market Information System on Skill Requirements” for CEDEFOP (European Centre for the Development of Vocational Training).
He currently works as Head of Global Data Science at Lightcast with the goal to develop innovative models, methods, and deployments of labour market data and other data to meet customer requirements and prototype new potential solutions.
His main tasks are related to advanced machine learning modelling, labour market analyses, and the design of big data pipelines to process large datasets of online job vacancies. In collaboration with the University of Milano-Bicocca, he took part in many research projects related to the labour market intelligence systems. He collaborates with the University of Milano-Bicocca as a Lecturer for the Masters of Business Intelligence and Big Data Analytics and with the University of Bergamo as a Lecturer in Computer Engineering.
- Data Warehouses Meet Data Lakes
Senior software developer and architect with 12+ years of experience leading international teams, launching startups, speaking at technology conferences, writing and reviewing hundreds of thousands of lines of code, and contributing to open-source projects
- Building pure Django REST API
- The art of yield
Maximilian holds a Master's degree in Computer Science, earned in 2023, with a focus on data analytics. He has been an active participant in data analytics communities since 2020 and works as a software engineer at UL Solutions, Software Intensive Systems, applying his expertise to drive business outcomes. To share his practical knowledge, he also develops and leads data analytics training programs.
- Working for a Faster World: Accelerating Data Science with Less Resources
Megan Robertson is a data scientist with over eight years experience driving business decisions through machine learning, statistical modeling and data analysis. She has partnered with stakeholders across marketing, digital design, engineering and more. She is currently working as a freelance data scientist and most recently developed data science models at Nike. She is passionate about providing mentorship to underrepresented groups in the field. Outside of work Megan enjoys photography, climbing mountains and exploring national parks.
- Top 5 Lessons from a Senior Data Scientist
Merve works at Hugging Face open-source team on computer vision and multimodal AI, and at times, agents, contributing to/developing Hugging Face libraries. Prior to this, she worked as machine learning engineer working on NLP, chatbots and information retrieval.
- Open-source Multimodal AI
👩💻📊 Patricia Goldberg is a Data Engineer based in Munich, passionate about data and technology. She has actively advocated for women in tech since 2017, participating in groups like Women in CS@TUM and Female Tech Leaders. She holds a bachelor's degree in Information Systems from the University of Sao Paulo and a master's degree in Data Engineering and Analytics from the Technical University of Munich. Patricia is currently an Analytics Engineer at Wemolo.
- From Chaos to Control: Automating BI Tools with Pydantic and Python
- Organize your data stack using Dagster
Data Scientist at AgileLab, I am passionate about Open Source and Tech communities. I help organize the local Python Milan meetup and helped launched the PyData Milan meetup.
- A Crash course in Time Series Forecasting from Naive to Foundational
Dr Piotr Gryko, studied experimental physics at University College London. His PhD at Imperial College London focused on using biomaterials to self assemble inorganic materials, merging the boundaries of biological systems and machines.
He now specializes in writing software, focusing on AI software engineering.
- Anonymization of sensitive information in financial documents using, python, diffusion models and named entity recognition
Data Science Leader with extensive experience in AI and MLOps, currently serving as the CTO at Infinitii AI. He has a strong background in team leadership, product innovation, and building scalable data-driven solutions. Piotr is passionate about using AI to solve real-world problems, particularly in time-series analysis. He is an advocate for Agile methodologies and MLOps practices, and has spoken at conferences about these topics.
- 📂 Slow Productivity AI: Automating Knowledge & Task Management with Offline Hugging Face, n8n & Obsidian
Piti Champeethong has over 20 years of experience working with databases. Currently, Piti serves as a Senior Consulting Engineer at MongoDB Singapore. He has spoken at several conferences, including the Global AI Conference 2023 and JavaScript Bangkok 2.0.0. In addition, Piti leads the MongoDB User Group Thailand, a thriving community of 3,000 developers.
Piti is also a Microsoft MVP (DevOps and Python), recognized for his expertise and valuable contributions to the developer community.
- Migrating billions records from SQL to NoSQL using continuous migration technique with PySpark and DataProc.
Robert Dzisevič - Senior Data Scientist at IBM.
Experience:
+7 years experience in AI field across different industries and different companies
+2 years experience in building GenAI solutions
Topics: AI, Natural Language Processing, GenAI, Retrieval Augmented Generation, GenAI guardrails, AI Ethics.
Public speaking profile: https://sessionize.com/robert-dzisevic
LinkedIn: https://www.linkedin.com/in/robert-dzisevi%C4%8D-190420b2
- The Emergence of Agentic Workflows in AI
Ukrainian Software and Artificial Intelligence Engineer living in Poland. Former Software Engineer and Architect at Fortune 500 companies. Core areas: software engineering and cloud computing. Public speaker at PyCon PL, PyCon CZ, Python Summit, Pytech Summit, PyCode.
- Temporal: Bulletproof Workflows
- Architecture as Code (AaC) with Python
- Investing: Technical Analysis libraries in Python
- Python on the Pitch: How Germany will win World Cup 2026
Sadeeq is a Data Analytics Specialist at Google Cloud in the UK. His role involves understanding customers' Data Engineering and Analytics challenges and goals, while helping them through their Digital Transformation journeys as they leverage solutions primarily on Google Cloud Platform, as well as on-Prem or on other Clouds.
Whilst in Nigeria, Sadeeq worked as a Software Engineer at few Startups, but gradually transitioned into Data Engineering at FMDQ Group. He then moved to Portugal for an MSc. degree in Data Science and Advanced Analytics at NOVA University of Lisbon.
He previously worked at KPMG and Microsoft, and his decade of industry experience include consulting with and for other notable Fortune 500 companies on data-centric projects.
- Orchestrating an end-to-end Data Engineering Workflow: Leveraging Python in Apache Beam and Airflow
I completed my Bachelor's in Mechatronics in Stuttgart, where I gained hands-on experience through multiple internships at Bosch, including a three-month assignment in China. During my Master's in Autonomous Engineering in Karlsruhe, I broadened my international perspective with an Erasmus semester in France and worked as a student researcher at Fraunhofer. My growing interest in AI led me to focus my master's thesis on sensor-based map generation for autonomous driving using CGAN models at Bosch. In 2024, I joined Validaitor, a start-up in Karlsruhe that specializes in testing and evaluating AI models for fairness, safety, and trustworthiness, as an AI Engineer.
- How to evaluate fairness and safety in LLM applications?
Shiva is a Software Engineer based in Bellevue, WA, USA. He has previously presented his works at PyCon-US, PyCon-JP, and PyCon-AU. He has been active with the Python community worldwide and has volunteered remotely at EuroPython and PyCon Sweden. He is passionate about software engineering best practices, including code refactoring, design patterns, and coding aesthetics. In addition to software engineering, he loves reading, writing, and playing cricket.
- Coding Aesthetics: PEP 8, Existing Conventions, and Beyond
Computational Cognitive Science researcher at the University of Potsdam, Potsdam, Germany
- Surprisal and the headache of tokenizer encodings in LLMs!
- Build & Deploy Apps like a (pro) Data Scientist using Streamlit
With over seven years of experience in Data Science and Artificial Intelligence, I specialise in developing AI-driven solutions using ML, DL, and CV, where I focus on designing, testing, and refining models to enhance AI applications. Additionally, I am actively expanding my expertise in Data Engineering, Generative AI, ensuring I stay at the forefront of industry advancements.
Beyond my professional endeavors, I am passionate about education and mentoring. I have delivered guest lectures at companies and educational institutions, sharing my expertise to inspire the next generation of AI practitioners.
A personal achievement I take pride in is my commitment to fitness and sports, particularly volleyball, which has taught me the importance of discipline, strategy, and continuous improvement - values that resonate deeply with my professional journey in AI.
- AI 360: From Theory to Transformation
Stefanie Molin is a software engineer at Bloomberg in New York City, where she tackles tough problems in information security, particularly those revolving around data wrangling/visualization, building tools for gathering data, and knowledge sharing. She is also a core developer of numpydoc and the author of “Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization,” which is currently in its second edition and has been translated into Korean and Chinese. She holds a bachelor’s of science degree in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, as well as a master’s degree in computer science, with a specialization in machine learning, from Georgia Tech. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
- Build Your Own (Simple) Static Code Analyzer
Senior Software Engineer, doing Python, Data Science and Security, working for a safer world at UL Solutions, Software Intensive Systems
- Let the Robots Test: Acceptance Test-Driven Development (ATDD) with Robot Framework
Graduated from Transport and Telecommunication Institute (Riga, Latvia) in 2024. Focused on research in Machine Learning and Medical Computer Vision. While studying participated in biomedical start-up developing diagnostical equipment, and led business communication, frontend development and AI module development. After defending Latvian patent left patent for a corporate career in Data Engineering in Accenture Baltics - developing complex ETL data pipelines and leading Cloud-Native migration for a large Banking company.
Continuing research in Computer Vision - segmentation and recognition, and planning to continue research in Uppsala University (Sweden)
- Unlocking the Power of Python and PyTorch for Biomedical Image Segmentation
A data practitioner with over a decade of experience in building and optimizing data solutions, specializing in data pipeline development, SQL optimization, and data infrastructure architecture. Working extensively with technologies like Snowflake, dbt, Airflow, and various SQL engines, with hands-on experience in multiple large-scale data migrations and greenfield projects.
Passionate about open-source technologies and efficient data architectures, actively contributing to the data community through the 'Uncle Data' podcast and blog, where he explores technical challenges and solutions in data engineering. His work focuses on developing scalable data solutions, implementing data quality frameworks, and designing robust data architectures.
A returning speaker at PyCon Lithuania (2023, 2024), sharing practical insights about data engineering and Python applications in the data world. When not working with data, he experiments with upcoming technologies through side projects and advocates for knowledge sharing within the tech community.
- Data Day Opening
- Beyond dbt: Modern SQL Transformation and Lineage with sqlglot and sqlmesh
Tuana is a Developer Relations Engineer at Weaviate, where she educates the their open-source community on AI tooling, latest methods and workflows. Previously, she lead the DevRel team at deepset, the company behind Haystack.
Her primary focus is the open-source AI community and helping people learn how they can make the most out of Weaviate for scalable AI applications. She has a degree in Computer Science from the University of Bristol in the UK.
- Knowledge Bases & Memory for Agentic AI
I am a seasoned software engineer with an international footprint in Forbes 500 companies as well as VC-funded scale-ups in Europe and North America.
I have spent most of my career till now building resilient data and machine learning platforms. Most of them fail, some of them success but all of them give me lessons to learn from.
One of my success is being part of the team who built Komodo Health’s critical AI-fueled data analytic platform to actually save people. Our platform reduces the burden of disease research and reduce the cost of drug manufacturing and delivery.
Previously at Jellysmack, I worked on the core infrastructure team who scaled the data platform for a company who went from greenfield to unicorn startup in 2 years.
A part from that, I am a birds’ lover, an animal enthusiast, a day dreamer and a mediocre Judo player.
- Real-Time Data Analytics at Scale: From Ingestion to Retrieval
I’m a data professional with over a decade of experience in data and information management, fueled by my "librarian gene" and a #lessmess mindset.
I kicked off my coding journey in my thirties, honing my skills as a data engineer in Python for data extraction and preprocessing in used car historical data reporting and ML solutions. My knack for structure, classification, and organizing data comes from my academic background, which includes a Master of Science in Communication from the University of Amsterdam and a Bachelor's in Information & Communication Science from Vilnius University.
Passionate about a #lessmess environment, I believe streamlined data is a win-win for businesses and data professionals. While I’m impressed by the latest tech for better data management, I know that sometimes all it takes is a few extra lines of code. At the end of the day, it’s really about the people and what we do to (and with) data on a daily basis.
Currently, I lead data and information management initiatives at Ignitis in the Wholesale Electricity department, leveraging my project management skills honed in public relations and communications. I have also participated in Women Go Tech and Empowering Girls to encourage youth and women to choose engineering and information technologies as a career path.
- The Power of Python for Data Management (or How You’ve Been Doing Data Management All Along Without Even Realizing It)
Im a passionate programmer interested in Python, AI, and computer vision. I am studying in class 8, presidium school indirapuram delhi. As an active python community member, I enjoy learning from experienced developers and sharing insights. I have worked with OpenCV, TensorFlow, and Streamlit, exploring computer vision, automation, and AI. I love solving problems, building projects, and understanding how technology impacts the real world. I actively participate in tech meetups, hackathons, and open-source communities, gaining hands-on experience with deep learning, NLP, and data science. I've also given lightning talks at PyDelhi, pyconfererence bangalore, discussing Python frameworks and AI applications. Always eager to connect, collaborate, and learn
- Enhancing Model Context Protocol (MCP) with Dynamic Tool Discovery for Smarter AI
Team Lead at EPAM Sistemos
- Beyond the GIL: Python's Evolution and Future Directions
Data Engineer/Scientist at Accenture Baltics.
I have been involved in various interesting projects, such as:
- Building AI powered matching system for Alcohol manufacture and distribution company.
- Developing data pipelines and managing datalakes in Telecom.
- The Best of Both Worlds: A Hybrid Approach to Lightning-Fast Product Matching