Divyansh Agarwal
Member Of Technical Staff at Traversal
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolDivyansh Agarwal is an ML/AI engineer with 10 years of experience building production-grade personalization, ranking, and agent systems for enterprise products. He has driven core applied science and ML engineering work at Uber (launching UberX Share), Glean (owning personalization and pagerank improvements), and now builds AI SRE agents at Traversal. His background blends rigorous causal inference research from UC Berkeley with hands-on systems work in Java, Go, Python, and SQL, enabling him to move models from research to measurable business impact. Notably, his research cut bias on canonical causal simulations to one-sixth of a common baseline, and he has experience interpreting LLM behaviors on QA tasks. Based in New York and an alum of UC Berkeley and UCLA, he is equally comfortable diving into analytics foundations as he is shipping large-scale ML features. He’s open to collaborations and brings a track record of turning ML research into product outcomes.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science and Statistics, Bachelor's degree Computer Science and Statistics at University of California, BerkeleyMaster of Science - MS Computer Science, Master of Science - MS Computer Science at UCLA Henry Samueli School of Engineering and Applied ScienceDhirubhai Ambani International School
English, French, Hindi, Marathi
Github Skills (68)
python9
gpu9
deep-learning9
machine-learning9
cross-validation9
supervised-learning9
predictive9
predictive-modeling8
pytorch8
missing-data8
neural-network7
lime7
sklearn7
wordcloud7
numpy7
Programming languages (2)
Github contributions (5)
divyansha/DerivativeDTW
Mar 2017 - Sep 2017
Contributions:7 commits, 5 pushes, 1 branch in 6 months
divyansha/kiva-loan-popularity
Feb 2017 - Aug 2017
Contributions:41 pushes, 1 branch in 6 months
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