Vladimir Zhuravlev
Machine Learning Engineer at Self-Employment | Freelance
Tomsk Oblast, Russia
Summary
👤
Senior🎓
Top SchoolVladimir Zhuravlev is a Machine Learning Engineer with eight years of hands-on experience and a Master’s degree in Computer Science from Tomsk Polytechnic University. He combines practical expertise in C++ and Python with applied research—earning a Kaggle Expert badge and delivering production-ready systems in video analytics, object detection, and autonomous vehicle tracking. As a freelance engineer he has benchmarked LLM vector databases (Qdrant, Milvus), built a LipSync performance evaluation suite, and created a logprobs service to improve ChatGPT output interpretability. Earlier work at Rubius included perceptual-hash-based TV ad detection and YOLOv2/YOLOv3 implementations on the KITTI benchmark. Based in Tomsk Oblast, he blends competition-driven rigor with real-world deployment experience, often focusing on performance evaluation and system-level optimizations that aren’t obvious from model metrics alone.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Томский Политехнический Университет
Github Skills (59)
object-detection10
computer-vision10
yolov410
annotations9
pandas9
pytorch9
dataframe9
linux9
yolov59
client-library9
gpu9
dask9
darknet9
deep-learning9
https-server9
Programming languages (3)
Github contributions (5)
thehemen/CenterNet-object-tracking
Feb 2020 - Apr 2020
The KITTI object tracking system with CenterNet detection.
Contributions:20 commits, 3 pushes, 1 branch in 2 months
kolodnikovm/diglotweave
Dec 2017 - Jan 2018
Contributions:25 PRs, 45 pushes, 9 branches in 24 days
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