Aditya Thomas is a research-focused software engineer with nine years of experience bridging hands-on engineering and AI safety research, currently developing a structured taxonomy of systemic AI risks at Future Impact Group. His background spans industrial technical leadership at Samsung and ST-Ericsson to engineering roles in startups, complemented by an MS in Engineering and Management from MIT’s SDM program. Recently he contributed to interpretability and model-belief research—co-authoring work presented at ICML 2025—and has investigated verification challenges like attacks on Proof-of-Learning. Comfortable toggling between rigorous research and production engineering, he brings a systems-thinking perspective informed by prior teaching in System Dynamics at MIT Sloan. Based in Kochi, he blends signal-processing roots with contemporary AI governance expertise to translate abstract risks into actionable policy and technical priorities.
9 years of coding experience
12 years of employment as a software developer
Master of Science - MS Engineering and Management, Master of Science - MS Engineering and Management at MIT System Design and Management
B.E. Electrical and Electronics Engineering, B.E. Electrical and Electronics Engineering at National Institute of Technology, Tiruchirappalli
Master of Science - MS Engineering and Management, Master of Science - MS Engineering and Management at Massachusetts Institute of Technology
Master of Science - MS Electrical Engineering (Signal Processing and Communications), Master of Science - MS Electrical Engineering (Signal Processing and Communications) at University of Michigan
Master of Science - MS Engineering and Management, Master of Science - MS Engineering and Management at MIT Sloan School of Management
⚡ Building applications with LLMs through composability ⚡
Contributions:135 pushes, 114 branches in 1 year 1 month
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