Summary
Aadesh Salecha is a Stanford-based AI/ML researcher and seasoned software engineer who unites AI, psychology, and climate sustainability to drive measurable impact. At Stanford he investigates how large language models mimic and misbehave in human decision-making, applying behavioral insights to design fairer, climate-aware AI tools. Previously, as a Senior Software Engineer at DraftKings, he built large-scale ledger systems and high-performance backends handling billions of requests with microservices and sub-200ms latency. His experience includes an AI/ML engineering internship at Amazon where he developed an AI-driven ops system to predict GPU failures, reduce waste, and keep training workloads on track. With a BS in Computer Science (Honors) from the University of Minnesota and a Stanford CS MS, he brings 9 years of experience across C/C++, Python, and full-stack development, plus research on misinformation, bias, and mental-health AI tools. Based in San Francisco, he blends production-grade engineering rigor with research insight to advance AI x climate tech initiatives.
10 years of coding experience
4 years of employment as a software developer
Stanford University