Summary
Aakanksha Chowdhery is a senior machine learning researcher and engineer with 10 years of experience building and scaling large language models, multimodal systems, and efficient inference architectures across Google, DeepMind, Meta, and startups. She co-authored foundational work on the PaLM family and Pathways, led scaling and stability research for Gemini, and has driven applied agentic and multimodal research for Android control and robotics domains. Now splitting time between industry and academia as a Member of Technical Staff at ReflectionAI and an adjunct professor at Stanford teaching self-improving AI agents, she combines hands-on systems expertise with curriculum design and conference leadership (Program Chair for MLSys 2026). Her background in signal processing and distributed ML from a Stanford PhD gives her a rare blend of theoretical rigor and production-grade systems skill, and she’s repeatedly recognized for leadership with multiple spot and peer bonuses.
10 years of coding experience
15 years of employment as a software developer
Executive Program in Women’s Leadership Organizational Leadership, Executive Program in Women’s Leadership Organizational Leadership at Stanford University Graduate School of Business
Indian Institute of Technology Delhi (IIT Delhi)
High School, High School at Delhi Public School - R. K. Puram
Ph. D Electrical Engineering, Ph. D Electrical Engineering at Stanford University