Andrey Stepnov
Senior Data Science Engineer
Vladivostok, Primorsky Krai, Russia
Summary
👤
Senior🎓
Top SchoolAndrey Stepnov is a Senior Data Science Engineer with nine years of experience building production-grade ML systems, currently driving search and recommendation efforts at Avito and leading an AI lab at Far Eastern Federal University. He blends academic rigor—holding a PhD in Geophysics and multiple peer-reviewed publications—with hands-on engineering, having shipped transformer retrieval models, CPU-optimized recommenders, and Kubernetes-native MLOps pipelines. His domain breadth spans recommender systems, real-time ML services, and geospatial/seismic AI, including a deployed unsupervised container-positioning system that cut overhead movements by 17%. A pragmatic technical leader and co-founder of a seismic monitoring platform, he repeatedly bridges research and operations to turn novel models into resilient, low-latency services.
9 years of coding experience
13 years of employment as a software developer
Specialist, Business Managmant (M2), Specialist, Business Managmant (M2) at International Institute of Management LINK (former Distance Learning Centre)MicroMaster, Statistics and Data Science, MicroMaster, Statistics and Data Science at Massachusetts Institute of Technologyspecialist, mathematics, physics, IT, software development., specialist, mathematics, physics, IT, software development. at Sakhalin State UniversityDoctor of Philosophy (PhD), Geophysics and Seismology, Doctor of Philosophy (PhD), Geophysics and Seismology at IDG RAS
English, Russian
Github Skills (104)
python10
autocomplete10
deep-learning10
optimization10
neural-network10
science10
julia10
tensorflow10
machine-learning10
ml9
django9
root-finding9
hazard9
spectrogram9
programming-language9
Programming languages (10)
Github contributions (5)
geophystech/GroundMotion.jl
Jun 2017 - Feb 2022
Contributions:12 releases, 112 commits, 56 pushes in 4 years 9 months
jamm1985/seismo-performer
Nov 2020 - Apr 2022
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
Contributions:3 releases, 92 commits, 13 PRs in 1 year 5 months
seismic-processingspectrogramearthquakesclassificationreal-time
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