Artem Ponomarev
Senior Data Scientist
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolArtem Ponomarev is a Senior Data Scientist in the San Francisco Bay Area with six years of industry experience building production-grade AI and ML infrastructure across cloud and edge devices. He architects hardware-aware ML pipelines and CI/CD for CPU/GPU/NPU deployments, having cut deployment times and improved inference efficiency through automation, quantization, and ONNX packaging. At Microsoft and TetraMem he led initiatives that standardized experiment environments, boosted NPU inference by ~30%, and instituted safety practices like shadow traffic, A/B testing, and rollback playbooks. His background includes deep applied-physics research at NASA—where he developed Monte Carlo radiation models and earned innovation awards—bringing rigorous scientific modeling to ML operations. An AGI evangelist and agentic AI architect, he blends systems-level engineering with experimental rigor to move cutting-edge models from lab to resilient, monitored production.
6 years of coding experience
5 years of employment as a software developer
Bachelor of Applied Science - BASc, Engineering Physics/Applied Physics, 3.6, Bachelor of Applied Science - BASc, Engineering Physics/Applied Physics, 3.6 at Moscow Institute of Physics and Technology (State University) (MIPT)Doctor of Philosophy - PhD, Applied Physics, 3.7, with distinction, Doctor of Philosophy - PhD, Applied Physics, 3.7, with distinction at Columbia University
English
Github Skills (19)
machine-learning4
python4
science4
tensorflow3
jupyter-notebook3
data-science3
flask-application3
pandas2
data-analysis2
kubernetes-cluster1
gluon1
sagemaker1
kubernetes1
xgboost1
deploying1
Programming languages (5)
Github contributions (5)
artemponomarevjetski/python-codility-solutions
Feb 2021 - Oct 2022
Contributions:18 commits, 16 pushes, 1 branch in 1 year 8 months
Various useful data science models implemented in Python
Contributions:20 commits, 19 pushes, 1 branch in 2 years 1 month
data-analysispythonsciencedata-sciencejupyter-notebook
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