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Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
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About
Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).
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Key Strengths
- Built and deployed production LLM conversational system handling 1M+ requests/day
- Reduced retrieval latency by ~40% (Pinecone tuning, caching/batching, autoscaling/warm containers)
- Improved contextual accuracy by ~25% via tighter RAG, better embeddings, and re-ranking
- Designed automated end-to-end MLOps (retraining, deployment, monitoring) using Airflow/MLflow/SageMaker
- Strong framework selection judgment across Airflow vs Kubeflow vs cloud-native pipelines (SageMaker/Vertex)
- Effective collaboration with non-technical stakeholders; translated model metrics to business impact to improve CTR/conversions
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