Ivan Povalyaev
Senior Data Scientist
Czechia
Summary
👤
Senior🎓
Top SchoolIvan Povalyaev is a Senior Data Scientist with nine years of experience applying machine learning and ML engineering to production systems, currently building models at Zeta Global from his base in Czechia. His background blends hands-on recommender-system development at Recombee with large-scale solution architecture and migration experience for telecom OSS/BSS platforms, giving him a rare mix of data science and systems-level design. He has led high-throughput backend designs handling millions of subscribers and has practical expertise turning database-limited legacy systems into migrated, scalable services. A researcher and ML enthusiast, Ivan pairs model tuning and programming skills with operational awareness—optimizing for real-world constraints like throughput, rule-based business logic, and cross-market convergence.
9 years of coding experience
10 years of employment as a software developer
2003, Informatics & Control Systems, 2003, Informatics & Control Systems at Bauman Moscow State Technical University
Russian, English, Czech, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (38)
yolov510
onnx10
coreml10
object-detection10
tflite10
ios9
pytorch9
machine-learning9
yolov49
deep-learning9
ultralytics9
backend8
yolov88
cml7
ml7
Programming languages (5)
Github contributions (5)
lacmus-foundation/ladd-and-weights
Jun 2021 - Jun 2022
Metadata of Lacmus dataset and trained model weitghts tracked with dvc
Contributions:26 commits, 23 PRs, 10 pushes in 1 year
pytorchdatasetdvcmetadata
ipovalyaev/lacmus-web-api
Oct 2020 - Feb 2022
API to the lacmus project
Contributions:29 pushes, 34 branches in 1 year 4 months
apipython
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