● Architected a production-grade Agentic Ecosystem leveraging multimodal agents to handle diverse workflows – from Natural Language CRUD operations to Contract Data Processing, achieving an 85% autonomous task completion rate. ● Built the Generative Analytics engine (RAG) for the Decision Support System, synthesizing quantitative technical indicators with qualitative document insights to generate executive-level strategy reports, reducing manual market research time by 90%. ● Developed robust LLMOps infrastructure on GCP Cloud Run with a custom Gateway and Hybrid Vector Search, ensuring provider independence and 30% cost reduction via intelligent routing and token optimization.

● Engineered high-throughput SERP antifraud models using CatBoost and BERT embeddings, achieving a 15% reduction in fraudulent traffic while meeting strict latency constraints (<20ms). ● Built scalable feature engineering pipelines processing petabyte-scale clickstream logs (MapReduce/YQL); discovered critical behavioral patterns that boosted model precision by 6%. ● Maintained system reliability and observability for distributed search clusters, significantly reducing reaction time to incidents in production.

● Developed a hybrid Recommender System (GNN-based), achieving a 12% uplift in User Retention by improving suggestion relevance. ● Built high-performance inference endpoints (FastAPI, Docker), maintaining sub-50ms latency for 1k+ concurrent requests on bare-metal infrastructure.