Dhruv Sharma
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDhruv Sharma is a quantitative researcher with 11 years of experience who blends a PhD in statistical physics with hands-on engineering to take research into production at scale. He has led multi-asset research for MSCI (>$100B on platform), shipping production LLM agents for financial document parsing and a real-time Golang portfolio optimizer used for hundreds-position portfolios. At an earlier startup he built an agent-based market simulator and ML pipelines that classified 300K+ instruments, work that contributed to a successful acquisition. His strengths span agent-based modeling, LLM evaluation frameworks, and high-performance optimization, with practical infra skills in Python, Go, Docker, GCP and BigQuery. Notably, he created the MSCI Similarity Score now used industry-wide to monitor portfolio drift—illustrating a rare combination of theoretical rigor and product-facing impact.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Statistical Physics and Macroeconomics, Doctor of Philosophy - PhD, Statistical Physics and Macroeconomics at Ecole normale supérieureIngenieur Polytechnicien, General Engineering, Ingenieur Polytechnicien, General Engineering at École PolytechniqueB.Sc Hons, Physics, B.Sc Hons, Physics at St. Stephen's College, Delhi
English, Hindi, French, Italian
Github Skills (71)
python10
deep-learning10
hosting10
data-science10
tensorflow10
pytorch10
machine-learning10
privacy10
journaling9
jax9
self-hosting9
convex-optimization8
neural-network8
r8
optimization8
Programming languages (7)
Github contributions (5)
dhruvparamhans/CubeSat
Oct 2014 - Aug 2015
Contributions:46 commits, 24 pushes in 10 months
adcscubesat
dhruvparamhans/map_projet_3a
Jan 2016 - Feb 2016
Contributions:2 PRs, 36 pushes, 1 branch in 1 month
mathematicspythonapplied-mathematicsapplied
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