À propos de Dmitry
Anglais
Capacité professionnelle complète
Français
Capacité professionnelle limitée
Russe
Bilingue ou natif
Serbe
Notions
Expériences
- DataSpikeData Science Lead - AI / GenAIBANQUE & ASSURANCESseptembre 2022 - Aujourd'hui (3 ans et 9 mois)Lead an ML team building production AI features for a regulated KYC/AML SaaS product.Built and productionized RAG assistants and agentic workflows for compliance teams: retrieval over internal procedures and external sources, high-precision grounding, latency and token-cost constraints, and LangChain / LangGraph orchestration.Owned LLMOps for multilingual adverse-media analysis across 10,000+ sources in 40+ languages: NER/entity resolution, relevance scoring, deduplication, prompt/version management, evaluation harnesses, online monitoring, and provider fallback.Acted as technical referent for product, compliance, and sales teams, translating ambiguous business needs into testable AI specs and production delivery plans.
- Quadcode trading platformSenior Data ScientistBANQUE & ASSURANCESmai 2021 - septembre 2022 (1 an et 4 mois)Built ML models for a fintech trading platform, with a focus on fraud detection, personalization, anomaly detection, and forecasting.Shipped a low-latency, interpretable event-based fraud detection model that reduced losses by about $1M/year.Built contextual bandits for deposit-offer personalization, improving average deposit in A/B testing, and developed anomaly-detection models for trading-platform KPIs.Improved implied-volatility forecasting with time-series models used directly by the trading product.
- Tungsten Automation KofaxSoftware Engineer to Senior ML EngineerEDITION DE LOGICIELSaoût 2016 - mai 2021 (4 ans et 9 mois)Worked on enterprise document intelligence and OCR products, moving from backend engineering into applied ML.Built document-image understanding components, including paragraph detection for scanned documents and ML models supporting invoice-processing workflows.Used gradient boosting and production engineering practices to improve manual review efficiency and integrate ML components into enterprise automation products.This experience gave me a strong base in document AI, OCR, backend systems, and production constraints that I now apply to RAG and GenAI systems.
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Formations
- MSc + PhD coursework, Computer ScienceVolgograd State Technical University2020Research focus: road-accident prediction from historical data; machine learning, data science, algorithms and software engineering.