Oleg Sokolov is a pragmatic AI and ML-focused engineer and serial founder with 11 years of experience building high‑throughput production systems and consumer-facing GenAI products. Based in Paris, he has led engineering and product efforts as CTO and Co-Founder, launching a GenAI platform with 60k users and growing revenue to $100k while integrating multiple state‑of‑the‑art models. His background spans applied deep learning, recommendation systems, and large-scale data engineering—having cut moderation latency from minutes to seconds and improved content recognition to human parity. Hands‑on across Java, Kotlin, Python, PyTorch and big‑data stacks, he pairs algorithmic depth (OCR, face analysis, CLIP/EfficientNet) with backend optimization and deployment experience. Notably, he built fraud- and search-improving ML at scale for a 100M-MAU classifieds site and drove Data Science projects for enterprise clients like SNCF and Mars. He is self-taught in many practical areas and combines research-level model work with product leadership and commercial responsibility.
11 years of coding experience
9 years of employment as a software developer
Deep Learning, Deep Learning at Coursera
Bachelor's degree, Nano and micro electronics, Bachelor's degree, Nano and micro electronics at Санкт-Петербургский Государственный Электротехнический Университет «ЛЭТИ»
Contributions:3 pushes, 1 branch in 3 years 2 months
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