Platon Karpov
Sr. Machine Learning Engineer at Provectus
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolPlaton Karpov is a Sr. Machine Learning Engineer in New York with nine years of experience bridging astrophysics, high-performance computing, and production ML for finance and healthcare. Trained as an astrophysicist with a PhD from UC Santa Cruz, he pioneered physics-informed ML for turbulence in core-collapse supernovae, open-sourcing an ML-to-Fortran integration pipeline (Sapsan) used to embed PyTorch models in legacy hydrodynamics codes. At Provectus he leads teams productionalizing GenAI, specializing in LLM research, tuning, continuous evaluation, RAG systems and hybrid knowledge-graph integrations. Equally comfortable on GPUs and supercomputers, he combines deep scientific modeling experience with pragmatic engineering to turn complex physics and regulatory use-cases into reliable, auditable ML deployments.
9 years of coding experience
2 years of employment as a software developer
University of California Santa CruzBachelor of Science - BS, Physics, Astronomy, Mathematics, Bachelor of Science - BS, Physics, Astronomy, Mathematics at Stony Brook University
Github Skills (21)
density-estimation9
application9
data-structures8
modeling8
autoencoder8
astrophysics8
pytorch7
llm7
vector-database7
machine-learning7
fine-tuning7
python7
gpt6
embedding6
collapse6
Programming languages (2)
Github contributions (5)
pikarpov/sapsan-web
Jul 2020 - Aug 2022
Contributions:9 commits, 2 pushes in 2 years 1 month
pikarpov-LANL/COLLAPSO1D
Jul 2020 - Mar 2023
Embedding 3D Turbulence into 1D Core-Collapse Supernovae with ML
Contributions:191 commits, 10 PRs, 5 pushes in 2 years 8 months
pytorchcollapseautoencoderdeep-learningmachine-learning
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