JAMES E. TUNNESSEN JR., MBA
D. Eng. Candidate, Artificial Intelligence & Machine Learning
Forbes Technology Council ~ Federal CAIO Council Member
Email: jetjr@gwu.edu •
Location: Washington, DC area
GitHub: github.com/jtunnessen •
LinkedIn: linkedin.com/in/jimtunnessen
Consulting: gradientdescent.biz
EDUCATION
Doctor of Engineering (D.Eng.) – Artificial Intelligence & Machine Learning Expected August 2027
George Washington University, School of Engineering & Applied Science, Washington, DC
- Praxis: “A Human-centered XAI Evaluation Framework for Federal Decision Augmentation” (in progress)
- Coursework: Computer Vision & Generative AI, Deep Learning & NLP, Data Engineering for AI, Applied ML Intelligence & Reinforcement Learning, Analytical Methods for Machine Learning
- Research: BERT-based deep learning with Self-Attention for mental health textual analytics; PyTorch on GCP GPU clusters
Master of Business Administration (MBA) – Information Systems & Corporate Finance 2008
George Washington University, Washington, DC
Bachelor of Arts, Communication | Bachelor of Arts, French 2004
College of Charleston, Charleston, SC
Executive Program: Artificial Intelligence for Business Strategy 2019
Massachusetts Institute of Technology (MIT), Cambridge, MA
MILITARY SERVICE
Infantry Platoon Sergeant | Honorably Discharged April 1995 – December 2002
United States Marine Corps
- Combat arms NCO; led infantry units through operational deployments and garrison commands
- Chief Instructor, NCO Leadership School, MCAS Beaufort (1999–2000) — responsible for curriculum design, school operations, and instructor development
- Additional assignments: Military Liaison, Parris Island SC; Weapons Platoon Sergeant, C Co, 1/6, 2nd Marine Division
Engineer Officer | Honorably Discharged October 2008 – July 2014
Virginia Army National Guard & U.S. Army Reserve
- Commissioned Engineer Officer in reserve component; roles included Platoon Leader, Executive Officer, Operations Officer, and IT Process & Policy Chief at Joint Force HQ
- Approximately 15 years combined military service across active and reserve components
TECHNICAL EXPERTISE
Languages & Frameworks: Python, PyTorch, TensorFlow, LangChain, LangGraph, SQL/NoSQL, Rust (developing)
AI/ML Specialties: LLMs, NLP, Transformers, Agentic AI, RAG, Computer Vision, MLOps, GenAIOps, Explainable AI
Platforms & Infrastructure: Azure, AWS, GCP (Cloud Run, Pub/Sub, Firestore, GCS), DataBricks, Spark, Tableau
AI Tools & Ecosystems: HuggingFace, AI Studio, Anthropic Claude API, Gemini API, OpenAI API, MCP
Cybersecurity: Zero Trust, Okta, Intune, Zscaler, NIST SP 800-53 rev 5, AI Governance-as-Code
PROFESSIONAL AFFILIATIONS & SERVICE
- Federal Chief Information Officer Council — Member (ex officio, NEA CIO)
- Federal Chief AI Officer (CAIO) Council — Member (ex officio, NEA CAIO)
- Forbes Technology Council — Member & Contributor
- IEEE Computer Society — Member
- American Association for Artificial Intelligence (AAAI) — Member
- Society for Information Management (SIM) Capital Area Chapter — Member
- ACT-IAC (American Council for Technology–Industry Advisory Council) — Contributor
- Military Officers Association of America (MOAA) — Member
- Army & Navy Club, Washington, DC — Member
HONORS, AWARDS & RECOGNITION
- Chairman’s Award for Distinguished Service — National Endowment for the Arts (2022)
- Award for Work on Agile Contracting Solutions — DHS USCIS CIO’s Award (2015)
- Lean Agile Innovation Award — DHS USCIS CIO’s Award (2015)
- First Federal Hackathon — DHS USCIS CIO’s Award (2014)
- Army Commendation Medal for Leadership — U.S. Army (2009)
- Leadership Excellence Award — Association of the U.S. Army (2009)
- Navy Achievement Medal for Leadership — U.S. Marine Corps (2002)
- Military Excellence Award for Leadership — Non-Commissioned Officers Association (2000)