Candidate ID: #2
Location: US

EMPLOYMENT SUMMARY

• Current/Most Recent: Lead Machine Learning Engineer at Booz Allen Hamilton (Jul. 2023 – Present), implementing LLM solutions on both AWS and private SCIF network architectures and serving as AI/ML SME and trainer for National Geospatial-Intelligence Agency staff – Active DoD TS/SCI with CI Poly
• Past: 10+ years spanning IBM (AI models on Palantir Vantage for Army Materiel Command), forensic AI research at UCF’s National Center for Forensic Science, and BI/data science management at Biotek – MS in Statistics & Data Science, UCF

ACCOMPLISHMENTS

• Classified AI Deployment – Rare combination of LLM/ML architecture experience across both AWS cloud and SCIF environments, with AI governance, ethics, and policy development expertise
• Defense Analytics – At IBM, optimized model pipelines on Palantir Vantage for Army Materiel Command and translated SQL workflows to PySpark, cutting ETL processing time on AWS
• Research Rigor – Designed a PCA-LDA/SVM predictive diagnostic system achieving 98.6% test accuracy on LIBS forensic data and co-authored peer-reviewed publications in AI-enabled forensic classification
• Operational Wins – Cut inventory costs 20% via autoregressive forecasting and improved delivery times 55% with optimized routing algorithms at Biotek; Certified DoD Instructor and AWS Certified Cloud Practitioner