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Sudeepti Chalamalasetti
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
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Built a production RAG-based healthcare chatbot to retrieve patient medical documents spread across multiple platforms, reducing manual and error-prone searching. Implemented semantic search with custom embeddings (Hugging Face) and Pinecone, deployed via FastAPI/Docker on AWS SageMaker with MLflow tracking, and optimized fine-tuning cost using LoRA while orchestrating retraining pipelines in Airflow.
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Key Strengths
- Built and deployed production RAG chatbot for patient document retrieval across multiple platforms
- End-to-end ML/LLM pipeline orchestration with Apache Airflow (DAGs, scheduling, dependencies)
- Cost/performance optimization for fine-tuning via LoRA and SageMaker endpoint tuning
- Reliability-focused evaluation approach (offline eval, unit/integration tests, shadow + A/B testing, drift monitoring)
- Cross-functional requirements gathering and managing data dependencies with non-technical teams
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