I’m an AI/ML Engineer in Atlanta with 3+ years of experience building and shipping production Generative AI, LLM, and MLOps systems across finance and healthcare. I specialize in agentic AI workflows, retrieval-augmented generation (RAG), and optimizing LLM inference on AWS using tools like Bedrock and SageMaker, while focusing on measurable outcomes such as improved forecast accuracy, better clinical risk prediction, and faster, safer model deployments.
In my recent work, I’ve designed LLM routing to reduce inference cost, engineered enterprise RAG with hybrid retrieval and verifiable citations, and built guarded agent workflows with least-privilege tool access. I also bring strong MLOps discipline—evaluation, monitoring, and automated release pipelines—so models move smoothly from prototype to secure, scalable production for stakeholders like finance and clinical teams.
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