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AKHILA PATLOLLA
Mid-level Machine Learning Engineer specializing in production ML, forecasting, NLP and computer vision
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About
Built and deployed a production LLM-powered support assistant for customer support agents using a RAG architecture over internal docs and past tickets, with human-in-the-loop review. Demonstrates strong applied LLM engineering focused on real-world constraints (hallucinations, latency, cost) using routing to smaller models, reranking, caching, and rigorous evaluation/monitoring (offline eval sets, A/B tests, KPI tracking).
Experience
Education
Key Strengths
- Built and deployed a production LLM-based customer support assistant using RAG
- Pragmatic latency/cost control via small-model routing, token caps, and caching
- Reliability-focused evaluation across offline, pre-prod, and production with KPI monitoring and A/B tests
- Reduced support response time and improved answer consistency with human-in-the-loop safeguards
- Strong post-deployment iteration based on real user queries (prompt and retrieval threshold tuning)
- Effective collaboration with non-technical stakeholders using success metrics and demos
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