Summary
Sunil Thulasidasan is a hands-on leader and founder with 13+ years building practical and foundational machine learning systems, currently Head of Computer Vision at Mill and founder of Cambrian AI focused on energy-efficient edge AI for remote monitoring. He combines deep academic roots (PhD work on robustness and predictive uncertainty) with production wins at Amazon and Los Alamos, where his teams cut simulation runtimes by over 40% and advanced robust deep learning under noisy labels. Sunil is equally at home in hardware-software co-design for embedded vision and in foundational algorithmic research published at ICML, NeurIPS and top simulation and HPC venues. A prolific engineer, he authors Python and C++ open-source libraries for ML, high-performance computing and simulation, and volunteers embedded-AI expertise for wildlife conservation projects. Notable but less obvious: he has repeatedly bridged large-scale simulation, agent-based modeling and deep learning to deliver real-world, deployable systems across academia, national labs and industry.
13 years of coding experience
16 years of employment as a software developer
PhD Electrical Engineering (Machine Learning), PhD Electrical Engineering (Machine Learning) at University of Washington
Master's degree Computer Science, Master's degree Computer Science at University of Southern California
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at College of Engineering Trivandrum