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Sai Garipally
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and computer vision
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Built and productionized a multi-agent, LLM-powered document understanding system to replace manual review of long documents, using LangGraph orchestration plus RAG to reduce hallucinations. Implemented layered reliability controls (structured templates, checker agent, and human-in-the-loop feedback) and reported ~40% speed improvement after orchestration; also has hands-on Airflow experience for scheduled data pipelines.
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Key Strengths
- Built and deployed multi-agent LLM system to automate document review/extraction and reduce manual work
- Hallucination mitigation using RAG constraints, structured templates, checker agent, and human-in-the-loop review
- Orchestrated agent workflows with LangGraph (ordering, memory, retries, transitions, parallelism)
- Improved workflow speed by ~40% after adding orchestration
- Methodical testing/evaluation approach using sample sets (including edge cases), logging, and metrics (accuracy/speed/consistency)
- Effective collaboration with non-technical stakeholders via requirements translation, simple diagrams, and iterative demos
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