Jaunė Malūkaitė
I am a happy software engineer (AI/ML) at CommonAI CIC based in Cambridge. The startup is completely new and founded by Cambridge University Computer Science department professors! Also, this October I graduated from MPhil in Data Intensive Science with Distinction at the University of Cambridge.
Before coming to the United Kingdom, I have worked as a Data Scientist at IBM Lithuania for almost 2.5 years and conducted research on transformer capabilities to classify ECG data at the Institute of Data Science and Digital Technologies in Lithuania.
Now during my spare time, I am contributing to open source projects and am learning more in depth about multi-agent systems and CUDA. Also, I am a part of Cambridge Enterprise entrepreneurs program and am preparing for my first triathlon!
Skypilot: https://github.com/skypilot-org/skypilot
CMBAgents: https://github.com/CMBAgents/cmbagent
Session
Transitioning from data science to software engineering doesn’t mean starting over, it means translating the scientific method into systems work. In this talk I would share the DS habits that most improved my engineering. I would also cover the gaps that surprised me and the concrete techniques that helped me close them. The talk would include useful tools related to hpc, multi-agent systems that help improve the code and runtime.