Technical Product Manager – CoreCV & CoreLLM Teams Responsibilities: - Managing the roadmap and operational work of a team of 30+ ML Engineers and Data Scientists (planning, prioritization, task setting, estimation, and acceptance) - Organizing and overseeing MLOps processes: deployment of LLM and CV models, inference optimization (quantization, TensorRT, ONNX, vLLM), infrastructure support (logging, monitoring, alerting, authorization) - Interaction with key business stakeholders (Search, Recommendations, Fintech, Content, Advertising): requirements gathering, conducting offline/A/B tests, solution demos, integration support - Performing initial analytics (Python / SQL / PySpark): data quality assessment, log and metric analysis, hypothesis generation Results (in the first year): - Launched a new search service from scratch, delivering an annual GMV uplift of several billion rubles - Delivered over 20 ML services to production: - 7 LLM models (DeepSeek, Qwen, LLaMA, etc.) - 3 text embedding models, 1 STT model, 2 LLM copilots, 1 RAG - 2 VLMs, 4 image classifiers, 3 segmenters, 1 OCR, 1 detector - Significantly accelerated the experimentation cycle by introducing a Feature Store

OneFactor, recognized by Gartner as a 'Cool Vendor' for its secure data monetization platform based on AI & ML, is used by over 80% of Russian banks for risk assessment and lead generation. At the end of 2022, OneFactor was integrated into Uzum, Uzbekistan's #1 Digital Ecosystem, becoming a key component of its services. - Bring to the market a bank's Anti-Fraud service for 6 months, reaching $600K in the 1st year - Proposed a feature generation technique that increased the quality of Credit Scoring ML models by 3 pp GINI, compared to a 1 pp increase over the previous two years before my tenure - Spearheaded the development of a MVP Lead Generation service, leveraging big data to drive effective advertising campaigns targeting over 30M+ users - Conducted extensive market research and interviews to optimize CJM and conversion rates for an MVP lead generation service (BNPL, installment) - Developed and managed product roadmaps, prioritizing features (OKR, LEAN, RICE) and releases based on ROI estimations - Set goals and defined tasks for teams of data scientists and data engineers, fostering a collaborative and productive environment in Agile settings

GlowByte is an international group offering professional services in financial analytics, risk management, data warehousing, advanced analytics, and Industrial Internet of Things. - Built ML models that served as the foundation for digital advisors in manufacturing plant, leading to a 1% increase in cement productivity - Developed a regression model estimating the percentage of the target fraction at the output of the ore grinding mill, which formed the basis of a virtual grinding sensor used for real-time process monitoring - Conducted exploratory data analysis with report preparation in Jupyter Notebook and data visualization in Matplotlib for various technological processes, including ore beneficiation, gas processing, cement production, and paper manufacturing - Prepared data pipelines for gathering and processing data from diverse sources, and generating features for machine learning model development