Tung Hoang
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.
@tunghoangpro
Notable open source projects that you contribute to. Add URLs, one per line. –https://github.com/liftbridge-io
https://github.com/apache/airflow
Session
Crafting scalable event-driven applications using Python can be a tricky endeavor, requiring careful consideration of various factors, from understanding synchronous and asynchronous network calls to tackling the Python Global Interpreter Lock (GIL) bottleneck and implementing robust auto-scaling strategies. This talk delves into advanced techniques and concepts for designing and implementing scalable event-driven applications with Python, empowering you to overcome these challenges effectively.