● Built portfolio optimization algorithms for U.S. grain markets, boosting client margins and adding $8M in managed revenue. ● Led development of a multi-agent Al chatbot that automated grain-market insights, driving 35% higher client engagement. ● Created a B2B ML API powering real-time market intelligence and 50+ enterprise integrations.

● Optimized fraud-detection algorithms in Yandex Search to reduce ranking manipulation and protect traffic integrity. ● Refined search-quality data pipelines with big-da-ta analytics, boosting dataset accuracy and assessor efficiency by 30%.

● Developed an NLP service for automated agri-newsletter generation with an integrated web application. ● Improved OCR algorithms, reducing text extraction and processing time by 86%. ● Unified ML service monitoring into a real-time dashboard, streamlining model performance tracking.

● Contributed to the development of recommender system algorithms improving content personalization accuracy. ● Implemented a cluster-graph recommender model leveraging 150+ behavioral and contextual parameters. ● Optimized NLP data pipelines, achieving a 4x increase in processing speed.