Pavel Shvets
Software Engineer at ESG Book
Frankfurt, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolPavel Shvets is a software engineer with nine years of experience specializing in high-performance computing, proficient in C++ and Python and fluent in low-level performance considerations across CPU, GPU, memory, caches, OS and network. He spent a decade at Lomonosov MSU building monitoring, visualization and performance-analysis systems for supercomputers, and now contributes to data technology at ESG Book in Frankfurt. His work blends systems programming, database backends (PostgreSQL, MongoDB) and distributed messaging to optimize job throughput and detect operational issues. Pavel has hands-on GPU experience (CUDA/OpenCL), profiled workloads with Intel VTune and NVIDIA tools, and built graph-based equipment-health solutions using Neo4J. Colleagues rely on him to translate deep technical profiling into practical production improvements that reduce low-quality runs and speed up scientific workloads. Despite a removed GitHub repo, his sustained supercomputing track record signals robust, research-grade engineering skills.
9 years of coding experience
9 years of employment as a software developer
Lomonosov Moscow State University
Github Skills (41)
pytorch10
kaggle10
memory-efficient10
classification10
parameter-tuning10
feature-engineering10
gradient-boosting10
regression10
automl10
pipeline10
nlp10
automated-machine-learning10
whitebox10
blackbox10
data-science9
Programming languages (1)
Github contributions (5)
CrustaceanJ/mmp-checklist
Sep 2019 - Jun 2020
Contributions:11 commits, 10 pushes, 1 branch in 9 months
CrustaceanJ/IMCSCF
Dec 2016 - Mar 2020
Contributions:11 pushes, 1 branch in 3 years 3 months
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