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Deepak Guntreddi
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
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About
NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.
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Key Strengths
- Built and deployed production LLM system for enterprise summarization/transcription/Q&A (30% reduction in manual retrieval time)
- Designed low-latency, streaming GenAI pipelines using async processing (Kafka/Redis Streams) and GPU inference optimization (TensorRT INT8/FP16)
- Production deployment experience with GPU microservices on AWS (ECS Fargate) using FastAPI and Docker
- Strong MLOps/orchestration across Airflow, Step Functions, and Kubernetes (EKS) with Helm + ArgoCD GitOps
- Reliability and safety focus: guardrails/content filtering, schema enforcement, canary releases, and prompt A/B testing with real usage metrics
- Cross-functional delivery: translated non-technical stakeholder needs into an AI product and iterated via prototypes and usability feedback
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