Summary
Shlok Mehrotra is a software engineer and founder with a decade of experience building and optimizing ML-driven systems across industry and academia. Based in Palo Alto, he has contributed to Feed Rankings and Ads ML at Meta, improved on-device ML at Grammarly, and founded a stealth startup focused on finetuning—showing a strong mix of production impact and research curiosity. His background includes hands-on infrastructure work, code reviews, and developing features for HGNN models to mitigate real-world signal loss from privacy changes. While pursuing CS and math at UIUC (with exchange at Edinburgh) he also supported course development and researched satellite networking and lecture analytics, bridging applied research and teaching. Active in varied roles from academic research assistant to member of technical staff and aspiring athlete, he brings a pragmatic, cross-disciplinary approach to hard engineering problems. Colleagues describe him as someone who pairs rigorous model work with attention to deployment realities and continuous performance tuning.
10 years of coding experience
1 year of employment as a software developer
Deep Learning Nanodegree, Deep Learning Nanodegree at Udacity
Study Exchange Computer Science, Study Exchange Computer Science at The University of Edinburgh
None General Studies, None General Studies at Dougherty Valley High School
Mathematics, Mathematics at Diablo Valley College
Bachelor's degree Computer Science and Mathematics, Bachelor's degree Computer Science and Mathematics at University of Illinois Urbana-Champaign
English, Hindi, Spanish