I am a machine learning engineer focused on building scalable data platforms in healthcare. I architected an enterprise health care data normalization platform using LangChain and OpenAI embeddings, processing 2M+ GHX records per month with 95% entity-resolution accuracy and reducing downstream defects by 80% while removing 160+ manual hours per month. I also developed autonomous GPT agent workflows to orchestrate Selenium and PyAutoGUI across GHX, Lawson, and SAP, cutting analyst data-entry time by 75% and eliminating 90% of human errors.
I currently lead a team of engineers to deploy AI-driven pipelines, including RAG cleaning and data-migration workflows, exposing LLM-callable Python modules across multiple portals with robust cross-system accuracy. My work improves governance, SLA performance, and operational resilience across hospital networks while driving cost savings and scalable delivery.
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