Summary
Manuka Stratta is a machine learning engineer and researcher with nine years of experience applying deep learning to perception and climate-focused remote sensing projects. Currently a Member of Technical Staff at OpenAI working on post-training research, she blends cutting-edge model work with hands-on perception systems developed at Cruise's tracking team. At Stanford's Machine Learning Group she led efforts to map wind turbines and energy infrastructure from satellite imagery, demonstrating expertise in geospatial ML and real-world impact. Her background includes AR and systems internships at Snap, Figma, and Bloomberg, reflecting a broad software engineering foundation alongside research rigor. A dual Stanford BS/MS graduate, she bridges academia and industry—comfortable moving models from research into production pipelines. Notably, she pairs high-impact climate research with production-oriented perception work, making her skilled at translating novel ML ideas into deployable systems.
9 years of coding experience
2 years of employment as a software developer
French Baccalaureate Scientific Track OIB International option , French Baccalaureate Scientific Track OIB International option at Lycée Français de Bruxelles
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Stanford University
English, Spanish, French, German, Italian