Aadesh Salecha is a founding engineer and AI researcher blending a decade of production-grade software engineering with behavioral science and climate tech. He’s built high-stakes financial systems at DraftKings and agentic ML ops at Amazon, then moved to Stanford to apply remote sensing and LLM behavior analysis to map tree species and verify carbon sequestration at scale. Currently he’s building GAIA, an AI platform that helps lenders underwrite clean energy assets for the Global South, combining rigorous ledger-grade engineering with satellite and street-view powered models. His work spans low-level systems (C/C++) to modern ML stacks (PyTorch, BIOCLIP) and emphasizes reducing compute waste and real-world biases. Notably, he translated behavioral insights about LLMs into tools for fairer AI and found geothermal hotspots with satellite embeddings—work that won Stanford’s Green AI Hackathon and was featured in WIRED. Based in San Francisco with roots in Minnesota, he’s focused on making sustainability both scalable and verifiable.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science, Computer Science (Honors), Bachelor of Science, Computer Science (Honors) at University of Minnesota
Masters, Computer Science, Masters, Computer Science at Stanford University
Contributions:17 commits, 16 pushes, 1 branch in 1 year 3 months
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Aadesh Salecha - Founding Engineer at Stanford University