Sujay Khandagale
Staff Machine Learning Engineer at Coupang
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSujay Khandagale is a Staff Machine Learning Engineer in San Francisco with nine years of experience building production ML systems and publishing research-grade evaluations. He has advanced recommender and search models at Abacus.AI, led ML initiatives at Pinterest, and now drives ML engineering at Coupang, combining transformer-based two-tower architectures with pragmatic production improvements. His work spans extreme multi-label classification, robustness to distribution shift, feature-attribution benchmarking, and practical computer vision deployments—often turning research insights into scalable systems. Notably, he produced the first large-scale RecSys study accepted at NeurIPS and developed synthetic benchmarks for attribution methods, reflecting a rare mix of empirical rigor and engineering delivery. Trained at Columbia and IIT Mandi with research stints in Europe, he brings multilingual/NLP and applied vision expertise to cross-domain ML challenges.
9 years of coding experience
7 years of employment as a software developer
Exchange Student, Computer Science, Exchange Student, Computer Science at Aalto UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia UniversityBachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Indian Institute of Technology, Mandi
English, German, Marathi, Hindi
Github Skills (29)
recall9
robustness8
benchmark8
xai8
evaluation8
meta-learning7
benchmarking7
machine-learning6
feature-selection6
cpp5
feature-engineering4
scikit4
python4
hyperparameter-tuning4
concurrency4
Programming languages (2)
Github contributions (5)
abacusai/xai-bench
Jun 2021 - Aug 2021
XAI-Bench is a library for benchmarking feature attribution explainability techniques
Contributions:14 commits, 9 PRs, 15 pushes in 2 months
techniquesbenchmarkingrobustnessxaifeature-attribution
suj97/cs-c3140
Oct 2017 - Mar 2018
Contributions:7 pushes, 1 branch in 4 months
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