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Jaideep bommidi
Senior ML Engineer & Data Scientist specializing in LLM agents, retrieval/ranking, and MLOps
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About
Machine Learning Engineer currently at Webster Bank building an enterprise-scale LLM agent for Temenos Journey Manager/Maestro, using RAG-style multi-stage retrieval with FAISS/Pinecone, hybrid dense+sparse search, and LoRA fine-tuning optimized via NDCG/MAP and A/B testing. Previously handled messy incident/telemetry data at Deuta Werke GmbH with deterministic + fuzzy entity resolution, and has strong production data engineering experience across Spark/Hadoop and Python ETL systems.
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Key Strengths
- Built enterprise-scale LLM agent with multi-stage retrieval, re-ranking, and semantic search
- Implemented hybrid search combining dense embeddings with sparse keyword filters for least-privilege context
- Fine-tuned embedding/ranking components using LoRA and optimized with NDCG/MAP
- Validated search relevance via A/B testing and iterative feedback loops in controlled deployments
- Designed entity resolution pipelines using deterministic matching plus fuzzy matching (Levenshtein, Jaro-Winkler)
- Built production-grade, modular Python data workflows with SQLAlchemy/FastAPI and multi-source ingestion
- Scaled data processing using multiprocessing and big-data stack (Spark, Hadoop/HDFS, Hive/Pig/MapReduce)
- Reduced query times by 50% via partitioning and indexing strategies (iFactory3D)
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