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GenAI Advisor for Regulated Industries | The Right Controls. Less Drag. | Decisions That Survive Audit
Most regulated organizations don't struggle with GenAI because the models are weak. They struggle because leadership lacks a clear way to make deployment decisions that security, compliance, operations, and audit can all support. The teams that move fastest are not removing governance. They are making the right controls explicit, repeatable, and light enough to keep pace with deployment. Getting there requires judgment about which controls protect the business and which steps only slow the work. For over 30 years, I solved this exact bottleneck from the inside. Before launching Ochoa Consulting (veteran-owned), I led cleared AI engineering and advanced analytics within the DoD and Intelligence Community. I co-founded machine learning companies that merged into a NASDAQ-listed firm, and hold nine U.S. patents. I've led defense programs at scale and built secure AI capabilities from prototype to production in operationally constrained environments. Now, I bring that operational depth to commercial regulated industries facing the same governance-to-production bottleneck. My advisory practice is designed to help leadership teams make better GenAI deployment decisions where privacy, compliance, and operational constraints shape every choice. When technical teams get stuck on ambiguous compliance requirements and unclear testing criteria, I work alongside your internal subject matter experts to establish decision-making frameworks that clarify executive approvals, reduce avoidable rework, and strip away deployment ambiguity without compromising your compliance posture. I work strictly in the advisory lane, not the implementation lane. Client teams and SMEs retain full ownership of workflows and execution. If governance friction is slowing your AI initiatives, let's talk about the path forward.
U.S. Air Force Institute of Technology
Ph.D. EE, Photonics, MEMS, Microelectronics, VLSI
January 1, 1999 – January 1, 2007
U.S. Air Force Institute of Technology
M.S. EE, Electro Optics, Image Processing, Pattern Recognition
January 1, 1995 – January 1, 1996
University of Arizona
B.S. EE, Digital Signal Processing, Digital Control
January 1, 1987 – January 1, 1992
Ochoa Consulting, LLC; Veteran-Owned
Principal Advisor
February 1, 2026 – Present
Denver Metropolitan Area · Hybrid
ICR, Inc.
Lead GenAI Engineer / Data Scientist / Project Manager / Mentor / Tech-Talk Speaker
October 1, 2020 – Present
Aurora, Colorado, United States
Georgia Tech Research Institute
Senior Research Engineer, Machine Learning & Analytics Branch
January 1, 2017 – October 1, 2020
Georgia Tech Research Institute
Senior Research Engineer, GEOINT/MASINT SME, Project Dir., Signals & Sys Exploitation Prog. Office
May 1, 2014 – January 1, 2017
Sandia National Laboratories
R&D S&E, Systems Engineering-PMTS & Volunteer Technical Recruiter
December 1, 2010 – April 1, 2014
Albuquerque, New Mexico Area
Leidos (formerly SAIC)
Imaging & Radar Branch Manager, IDIQ Program Manager
August 1, 2009 – October 1, 2010
Chantilly, VA
ICAD
Co-founder, Inventor, & Consultant - QCI & CADx Systems
May 1, 1997 – March 1, 2003
US Air Force
Lt Col (Ret.), Division Chief, Program Manager, Imaging Engineer
January 1, 1993 – July 1, 2009
Level 2 Sys Planning, Research, Development, & Engineering Systems Engineer
DEFENSE ACQUISITION WORKFORCE IMPROVEMENT ACT (DAIWA)
June 24, 2026 – Present
Level 2 Program Management
DAIWA
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience across various organizations (consulting, research institutes, national labs, military, startups) demonstrates adaptability and a broad perspective. Their involvement in leading diverse teams and mentoring suggests a collaborative and growth-oriented mindset. The transition from deep technical research to advisory roles in GenAI indicates a proactive approach to evolving technologies. However, the target role of 'Data Analyst' might be a step down from their extensive leadership and principal advisor roles, potentially impacting long-term cultural fit if not aligned with career aspirations.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, project management, and mentoring skills. Experience in stakeholder alignment, technical recruiting, and developing user guides indicates excellent communication and collaboration abilities. Their background in regulated environments suggests a meticulous and process-oriented approach, which is beneficial for operational fit.