Andrei Khobnia
Principal Machine Learning Engineer, Data Science Team Lead
United States
Summary
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SeniorAndrei Khobnia is a Principal Machine Learning and AI engineer and team lead with 15+ years of industry experience, specializing in NLP, information retrieval, GenAI and production ML systems. He has architected and shipped agentic AI assistants and RAG-based GenAI products embedded in flagship offerings that serve 900K+ users across high-ARR enterprise products, consistently driving customer acquisition and upsell. Known for squeezing operational costs to pennies per query, he also pioneered a novel BERT-based inference approach enabling subsecond ranking at 5–10B scale and built a configurable DL library that powered 300+ experiments. Andrei blends hands-on research and engineering with people leadership—hiring and growing cross-functional teams—and is pragmatic about delivering measurable business value from cutting-edge ML. Less obvious: he routinely designs internal tooling and evaluation methodologies that cut experiment and delivery time by ~50–90%, making research-intensive projects repeatable and production-ready.
8 years of coding experience
14 years of employment as a software developer
English, Русский, Беларуская
Github Skills (33)
recurrent10
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
text-mining10
feature-extraction9
dedicated9
nlp8
scientific-computing8
natural-language-processing8
Programming languages (3)
Github contributions (5)
aikho/awesome-feature-engineering
Aug 2018 - Oct 2018
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
Contributions:11 commits, 1 PR, 10 pushes in 2 months
techniquesfeature-extractiondata-sciencededicatedmachine-learning
aikho/aikho.github.io
Apr 2018 - Sep 2018
Contributions:17 commits, 16 pushes, 1 branch in 5 months
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