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Srinivasan Gomadam Ramesh
Mid-level AI/Data Engineer specializing in agentic AI and data platforms
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About
AI/LLM engineer who built a production resume-parsing and candidate-matching platform at Quadrant Technologies, combining agentic LangChain workflows, VLM-based document template extraction (~85% accuracy), and a hybrid RAG backend for resume-to-JD search. Notably integrated automated LLM evals and metric-based CI/CD quality gates to catch silent prompt/model regressions, and led a 3-person team across frontend/backend/testing.
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Key Strengths
- Built and deployed production resume parser/intelligence platform for recruiter workflows
- Hybrid RAG implementation for resume-to-job matching using normalized structured fields + raw text
- Agentic LLM orchestration with multi-tool calling (including text-to-SQL over DB/dataframes)
- Integrated automated LLM evaluations into CI/CD with metric-based quality gates to prevent silent regressions
- Led a 3-person team coordinating frontend, backend, and testing
- Document template extraction/replication using VLM-based document intelligence (reported ~85% accuracy)
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