Bioblurb
Stephen is passionate about building AI-driven solutions that make data more intelligent and accessible. He has designed and deployed AI/ML applications for semantic classification, data harmonization, and retrieval-augmented generation (RAG). His work includes optimizing LLM-powered chatbots, developing hybrid search solutions that combine full-text and vector search, and building scalable FastAPI interfaces for AI-driven data platforms. He focuses on creating reliable, high-performing AI systems that are efficient, scalable, and built with privacy and security in mind.
Interests
- Applied AI/ML
- Big data
- Data engineering
- Cloud computing
Education
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MSc Bioinformatics
Johns Hopkins University, Baltimore, MD
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BSc Bioinformatics
Loyola University, Chicago, IL
