Summary
Rishab Khincha is a Machine Learning Engineer based in the San Francisco Bay Area with eight years of experience building applied ML systems, research, and production software across startups and large tech companies. He’s worked on ML infrastructure and short-form video problems at ShortTok, applied ML at Snowflake, and now tackles Trustworthy ML and health-related challenges at Apple, blending research rigor from MIT Media Lab and UT Austin with production impact from Goldman Sachs. His background spans computer science and physics (BITS Pilani), and he has published ML research while contributing to interdisciplinary projects from quantum optimization at RIKEN to healthcare-focused AI. Known for shipping end-to-end systems—APIs, BPMN-integrated workflows, and video/vision pipelines—he pairs hands-on engineering with a strong interest in fairness, reliability, and human-centered AI. An understated strength is his ability to move ideas from research prototypes to productionized tools, evidenced by shipped projects and academic-industry collaborations.
8 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Austin
AISSCE, Science | Physics, Chemistry, Mathematics - 95%, AISSCE, Science | Physics, Chemistry, Mathematics - 95% at AECS Magnolia Maaruti Public School - India
CISCE, Science | Physics, Chemistry, Mathematics - 95% | Computer Applications - 97%, CISCE, Science | Physics, Chemistry, Mathematics - 95% | Computer Applications - 97% at St. Joseph's Boys' High School
English, Hindi, Kannada, Marwari