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Snehitha Telkapally

@snehithatelkapally

AI/ML Engineer at Emplay Analytics building production LLM services with 96% claims accuracy.

India
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At Emplay Analytics, I lead the production Obligation Management LLM microservice, which processes contract and purchase-order streams to determine claims and claim amounts. Its evaluation pipeline reached 96% accuracy, and concurrent processing handles 1,600 PO rows in about 20 minutes with zero data loss.

I also built multi-retriever RAG architectures that improved document retrieval precision by 40%. At Emplay Analytics, I developed metadata-driven ingestion pipelines and low-code engine components that cut enterprise workflow development cycles by 50%.

In my projects, I built PromptPulse to monitor LLM quality, latency, and cost, and used semantic caching to reduce P95 latency by 45%. I’ve also built an agentic restaurant reservation system, a chest X-ray pneumonia detector, and a LangGraph analytics agent.

Experience

Work history, roles, and key accomplishments

EA
Current

Team Lead AI Engineer

Emplay Analytics

Aug 2026 - Present (3 months)

Lead an asynchronous Obligation Management LLM microservice in production, processing enterprise contract and purchase-order streams to determine claims and claim amounts. Own the architecture and technically lead one engineer.

EA

Associate Data Scientist

Emplay Analytics

Aug 2025 - Jul 2026 (11 months)

Built multi-retriever RAG architectures combining dense vector retrieval, cross-encoder reranking, and contextual grounding, boosting document retrieval precision by 40%. Developed metadata-driven data ingestion pipelines and low-code engine components for JSON schema operations.

Education

Degrees, certifications, and relevant coursework

MU

Matrusri Engineering College (Osmania University)

Bachelor of Engineering, Computer Science and Engineering

2021 - 2025

Grade: 8.3 CGPA

Pursued a Bachelor of Engineering in Computer Science and Engineering, achieving a CGPA of 8.3.

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