Ebenezer Rolston

Senior consultant with over 15 years of experience delivering enterprise and federal IT solutions across acquisition systems, data management, compliance, and business process optimization. Proven track record supporting federal acquisition and financial systems including PRISM, FBMS, FPDS, SAM, and SAP, with deep expertise in FAR compliance, stakeholder coordination, and operational risk management.

Extensive background in solution development, ETL architecture, data modeling, and system integration, leading end‑to‑end initiatives from requirements analysis through implementation, optimization, and user adoption. Recognized for translating complex regulatory and technical requirements into practical, scalable solutions that improve efficiency, data quality, and compliance.

Specializes in AI strategy, governance, and risk advisory, leveraging formal academic and professional training in AI governance, EU AI Act, NIST AI Risk Management Framework, and responsible AI practices. Provides AI readiness assessments, governance framework design, use‑case risk evaluation, and integration planning within existing enterprise environments. Experienced in advising leadership on AI adoption, vendor oversight, data governance, and compliance considerations without assuming production model development responsibilities.

Master of Science, Computer Science St. Joseph’s College Strong foundation in systems architecture, data structures, and enterprise application development.

Bachelor of Science, Computer Science St. Joseph’s College

Graduate Certificate – AI Strategy & Applications in IT (Expected March 2026) University of Denver Focused on enterprise AI adoption, AI strategy, governance, and responsible deployment within organizational and regulatory contexts.

AI Governance Certification AI Tech & Privacy Academy Formal training in AI governance frameworks, including EU AI Act, NIST AI Risk Management Framework, and responsible AI practices.

AI Algorithm & Auditor Certificate (Expected March 2026) BABL.ai Training in AI system auditing, risk classification, and compliance assessment.

Machine Learning & Deep Learning UC Berkeley Academic training in ML concepts, model evaluation, and applied analytics.

LLM & Agentic AI Harvard School of Engineering and Applied Sciences Focused on large language models, agentic workflows, and emerging AI system architectures.

Data Analysis with Python Stanford Continuing Studies Applied analytics using Python for data processing, modeling, and visualization.