Mid-level AI/Machine Learning Engineer specializing in Generative AI, NLP, and MLOps
Saint Louis, MOAI / Machine Learning Engineer6 years experienceMid-LevelFinancial ServicesCredit BureausHealthcare
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About
Built a production LLM/RAG document analysis system for large financial documents (credit reports/PDFs) to help business analysts extract insights faster. Implemented end-to-end pipeline orchestration with LangChain, vector search (e.g., FAISS), and hallucination controls (context grounding, similarity thresholds, and no-answer fallback), delivered as a Dockerized Python API.
Experience
AI / Machine Learning EngineerEquifax
Database Developer - Applied Machine Learning SystemsMedPlus Health Systems
Software Engineer - Data PlatformsDXC Technologies
Education
Webster Universitymaster, Information Technology (2024)
Loyola Academy Degree & PG Collegebachelor, Computer Science (2018)
Key Strengths
Built and deployed a production RAG system for financial document Q&A
Strong grounding approach to reduce hallucinations (context-only prompting + similarity thresholds + fallback when context missing)