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Jisvitha Athaluri
Mid-level AI/ML Engineer specializing in NLP, RAG, and MLOps
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About
Built a production LLM/RAG-based “model excellence scoring” system at Uber to automatically evaluate hundreds of ML models, standardizing quality assessment and cutting evaluation time from days to minutes on GCP. Also delivered an NLP document classification solution for insurance claims at Globe Life, partnering closely with compliance/operations and improving routing accuracy from ~85% manual to 93% with the model.
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Key Strengths
- Built and deployed LLM-powered model evaluation system in production (Uber)
- Standardized evaluation across hundreds of ML models; reduced review time from days to minutes
- Designed RAG pipeline with preprocessing + metadata filtering to mitigate noisy retrieval
- Strong evaluation discipline: golden sets, rubrics, accuracy/latency/consistency metrics
- Production reliability practices: schema validation, retries, fallbacks, drift monitoring with alerts
- Effective non-technical stakeholder management; set expectations using baseline vs model accuracy (85% manual vs 93% model)
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