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Saketh Reddy
Mid-Level Software Development Engineer specializing in full-stack and LLM/AI systems
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About
AI engineer with hands-on production experience building an end-to-end RAG system that reduced document-answering time from hours to minutes, improving accuracy through chunk overlap and hybrid BM25+semantic retrieval. Also built a LangGraph-based agent that researches company financial news via web search (Google Serper), using Pydantic structured outputs and checkpointing for reliability; experienced collaborating with non-technical stakeholders at JPMC and communicating ROI.
Experience
Education
Key Strengths
- End-to-end production RAG implementation (ingestion through generation)
- Diagnosed and improved LLM answer accuracy via chunking and retrieval strategy changes
- Implemented hybrid retrieval combining BM25 keyword search with embedding-based semantic search
- Built LangGraph agent for financial news research with tool-calling and conditional graph edges
- Improved agent reliability with structured outputs (Pydantic) and checkpointed state persistence
- Uses offline metrics (precision/recall) and continuous evaluation to iterate on models/prompts
- Maintains versioned prompt repository for systematic prompt experimentation
- Communicates AI ROI and requirements effectively with non-technical stakeholders (JPMC) with weekly updates
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