Evgeny Naumov
Software Developer at Nanometrics Inc
Hopewell, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolEvgeny Naumov is a senior Python software developer with 11 years of experience combining machine learning, mathematical physics, and production-grade engineering. He favors science-adjacent projects where correctness matters, and has applied that rigor to both research roles and commercial products—from seismic analysis and HPC ML consulting to building security scoring models. At Nanometrics he continues to deliver reliable software; previously he designed a Bayesian model to decompose employee security decisions and taught ML to varied audiences at Calcul Québec. An active open-source contributor, he implemented a collectd plugin to monitor NVIDIA GPUs via NVML, demonstrating practical systems and back-end integration skills beyond typical ML work. Trained at Waterloo (Math Physics) and McGill (CS, ML), he blends strong quantitative foundations with hands-on engineering in production environments.
11 years of coding experience
6 years of employment as a software developer
Master's Degree in Computer Science, Machine Learning, 3.7 cumulative GPA, Master's Degree in Computer Science, Machine Learning, 3.7 cumulative GPA at McGill UniversityBachelor of Science, Honours Mathematical Physics, Co-operative Program, 90.71% cumulative average, Bachelor of Science, Honours Mathematical Physics, Co-operative Program, 90.71% cumulative average at University of Waterloo
python 3, English, Russian
Stackoverflow
71reputation
2kreached
1answer
2questions
Github Skills (10)
c1710
c-programming10
collectd10
monitor10
gpu10
c1110
meter10
metric8
kotlin6
python6
Programming languages (14)
Github contributions (5)
collectd/collectd
Sep 2018 - Sep 2018
The system statistics collection daemon. Please send Pull Requests here!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 PR in 1 day
Contributions summary:Evgeny primarily contributed to a new plugin within the collectd system statistics collection daemon, focused on monitoring NVIDIA GPUs. Their work involved creating the `gpu_nvidia` plugin, integrating with the NVML library to collect GPU metrics such as memory usage, utilization, temperature, and clock frequencies. They implemented the configuration and read functions for the plugin, submitting the collected metrics. Further contributions involved refining the plugin and addressing code review feedback by correcting formatting and refining configuration options.
metrics-servermqtt-serverriemann-clientrrdtoolgraphite-client
qdbp/py9backup
Feb 2017 - Nov 2020
Contributions:25 pushes, 3 branches, 6 tags in 3 years 9 months
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