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About
Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.
Experience
Cyber Cloud Security and AI AnalystDeloitte
Cloud Enterprise ArchitectMerck Sharp & Dohme
Environmental MSSP (Data Analyst) InternshipIdaho National Laboratory
Cyber Cloud Security and AI Analyst InternshipDeloitte
Data Analyst – Research ProjectHoward University
Education
University of Pennsylvaniamaster, Artificial Intelligence (2027)
Howard Universitybachelor, Computer Science (2023)
Federal University of Technology Akurebachelor, Computer Science (2020)
Key Strengths
Built and deployed an LLM-powered security compliance gap assessment tool mapping policies to NIST CSF/SOC 2/PCI DSS
Mitigates hallucinations using RAG with embeddings/vector search and advanced hybrid prompting