Summary
Vince Kumar is a Machine Learning Engineer in San Francisco with nine years of experience building and deploying production ML systems, particularly in computer vision for apparel at scale. He has reduced inference runtimes dramatically (e.g., ~1900x speedup for visual similarity search), built robust ETL and data annotation pipelines, and delivered end-to-end solutions from problem framing to monitoring. As a former CTO/co-founder and early data science fellow, he pairs technical depth in model engineering and big-data tooling with product-minded startup experience. Vince aims to deploy technology that positively impacts over a billion people and brings a practical mix of research, optimization, and decentralized-app interest to that mission.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.S.), Biochemistry, Bachelor of Science (B.S.), Biochemistry at The University of Texas at Austin
Data Science, Data Science at Galvanize - San Francisco, SoMa
Hindi, Spanish, English