Summary
Ansh Mittal is a Machine Learning Engineer based in Mountain View with an M.S. in Computer Science from USC and eight years of experience building scalable, production-ready CV and NLP systems. He designs end-to-end ML pipelines and applies metric-driven optimization, neural rendering techniques, and LLM integrations to deliver real-time, personalized AI solutions. His background spans academic research at USC/ISI and industry roles from startups to Guidewire, blending rigorous experimentation with pragmatic deployment. Ansh has worked across healthcare and astronomy interests and has hands-on experience shipping computer vision at founding-stage startups and enterprise settings alike. He is proficient in Python and known for connecting research insights—evidenced by his Google Scholar profile—with practical engineering that moves models into production. An interesting facet: he combines formal ML research, including neural rendering and RL exposure from IIT Delhi, with applied GIS/CV work early in his career, giving him a broad cross-domain perspective.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Technology CSE, Bachelor of Technology CSE at Bharati Vidyapeeth's College of Engineering
CBSE (10 + 2) Physics Chemistry Mathematics English and Computer Scien, CBSE (10 + 2) Physics Chemistry Mathematics English and Computer Scien at Manav Sthali School - India
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern California
Quantum Computing, Quantum Computing at The Coding School
ML Summer School Data Science, ML Summer School Data Science at Duke University