Summary
Meia Alsup is an engineer-turned-inspector blending a decade of experience across agriculture, climate, and machine learning to accelerate sustainable food systems. With dual degrees from MIT and roles at Google[X] and MIT research labs, she has led ML projects—training transformers and domain-adaptive models—and co-founded Feanix, a YC-backed genomics and reproductive-tech venture for dairy. Now based in New York, she conducts USDA organic inspections while applying technical rigor and systems thinking from her CTO and moonshot-factory background to practical farm and certification workflows. An uncommon mix of hands-on field inspection, ML research, and startup genomics gives her a rare perspective on moving agriculture toward scalable, data-driven sustainability.
10 years of coding experience
6 years of employment as a software developer
Master of Engineering - MEng, Artificial Intelligence and Machine Learning, Master of Engineering - MEng, Artificial Intelligence and Machine Learning at Massachusetts Institute of Technology
English, Chinese, Spanish