Leonid Rozenberg is a seasoned software engineer and data scientist with 12+ years building analytics, ML-driven products and high-assurance systems across finance, biotech, and crypto. He blends functional-programming pragmatism (OCaml, F#, Haskell) with modern ML and Bayesian methods, notably developing a custom HMM for full-posterior HLA typing at Mount Sinai. His career spans quant trading at Jane Street, risk systems and VaR modelling for Trafigura and BIS, to engineering and CX leadership at Digital Asset and startup roles launching novel Canton/DAML projects. Comfortable owning full stacks and research-to-production pipelines, he pairs statistical rigor with production engineering and a knack for turning probabilistic ideas into efficient, auditable code. Based in New York, he is actively pursuing startups and consulting opportunities at the intersection of ML, functional programming and distributed ledgers.
Contributions:78 commits, 27 PRs, 35 pushes in 11 months
hlahla-typing
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