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EXECUTIVE PROFILE

Technology executive at the intersection of AI governance, engineering, and public-sector leadership. Founder & CEO of GOVERNBOX.ai and Founder & Principal Researcher of Gradient Descent LLC — an AI think tank, venture studio, and holding company spanning applied research (Gradient Descent Labs), executive advisory (Gradient Descent Advisory Services · GOVERNBOX.ai Advisory Services), and enterprise software (GOVERNBOX & GOVERNBOX.ai). More than 25 years of federal service across the Marine Corps, the Army, and five federal agencies: approximately 14 years in uniform (1995–2002, 2008–2014) and 15 years as a federal civilian (2011–2026), 13 of them at the executive level. A career member of the Senior Executive Service and twice a federal Chief Information Officer, most recently Chief Information Officer / Chief AI Officer / Chief Privacy Officer at the National Endowment for the Arts, with prior C-suite technology roles at Voice of America, USDA FSIS, and DHS USCIS. D.Eng. candidate in Artificial Intelligence & Machine Learning at George Washington University (expected August 2027), researching specification-driven verification of ML compliance determinations. Forbes Technology Council member.

PROFESSIONAL EXPERIENCE

Entrepreneurial & Advisory

Founder & Chief Executive Officer August 2026 – Present
GOVERNBOX.ai — a Gradient Descent LLC venture | Virginia; Washington, DC Metro Area | GOVERNBOX.ai

  • Founded a self-service AI-governance SaaS (“governance in a box”) that lets nonprofits, associations, public-sector bodies, and small-to-mid-sized businesses stand up and operate a defensible AI governance program — without hiring consultants or buying an enterprise platform
  • Product spans five integrated modules — AI governance, risk, IT, data, and privacy — with sector-aware policy generation, staff training and sign-off workflows, and board-ready reporting

Founder & Principal Researcher November 2025 – Present
Gradient Descent LLC | Virginia; Washington, DC Metro Area | gradientdescent.biz

  • Virginia limited liability company (Entity ID 11924042), organized November 2025; operations began 2026
  • Direct the venture strategy of an AI think tank, venture studio, and holding company: applied AI research and IP incubation (Gradient Descent Labs), executive advisory (Gradient Descent Advisory Services · GOVERNBOX.ai Advisory Services), and enterprise software (GOVERNBOX & GOVERNBOX.ai)
  • Advise boards, executives, and technology organizations on agentic AI, responsible AI governance, enterprise technology risk, and applied ML for enterprise and public-sector environments
  • Forbes Technology Council contributor; published thought leadership on AI governance, agentic systems, and federal AI strategy

Federal Executive Leadership

Chief Information Officer / Chief AI Officer / Chief Privacy Officer (SES) July 2020 – August 2026
National Endowment for the Arts (NEA) | Washington, DC

  • Led the Office of Information Technology Management: cybersecurity, application development, AI, data governance, enterprise architecture, infrastructure, IT support, privacy, and COOP
  • Advanced cybersecurity posture from “Ad Hoc” to “Managed & Measurable”; implemented SOC and Zero Trust architecture (Okta, Intune, Zscaler)
  • Designed agentic AI framework with RAG + LLM fine-tuning for financial decision-support; first of kind at a federal cultural agency
  • Designed semantic search with vector embeddings across NEA’s grants management systems
  • Led multi-cloud migration across Azure and AWS; implemented Microsoft Copilot, DocuSign, and Xacta
  • Chaired NEA AI & Data Governance Boards; authored NEA IRM Strategic Plans FY22 and FY26
  • Member, Federal Chief AI Officer (CAIO) Council — interagency body coordinating federal AI strategy, policy, and governance across the executive branch
  • Member, Federal Chief Information Officer Council (ex officio, NEA CIO)
  • Introduced vibe coding and AI-assisted rapid prototyping practices to federal development teams

CIO & Chief Digital Officer (SES) January 2017 – July 2020
Voice of America (VOA) | USAGM | Washington, DC

  • Managed 250+ staff and $200M+ technology budget serving 275M+ weekly viewers across 47 languages globally
  • Built “Ipsum,” VOA’s internal NLP auto-transcription/translation tool, achieving 10x speed improvement; adopted by 4 global media organizations
  • Launched VOA+ OTT streaming platform; deployed 20+ language-specific mobile apps with circumvention technology
  • Implemented AI recommendation engine in CMS; migrated 400+ TB to cloud enterprise Data Lake
  • Established and led USAGM CIO Council overseeing technology for 5 international broadcasting organizations; deployed camera robotics, drone program, 360° immersive news, and Alexa Skills for 12 language streams

Chief Technology Officer (GS-15) October 2015 – January 2017
USDA Food Safety and Inspection Service (FSIS) | Washington, DC

  • Led $100M+ technology modernization program; introduced Agile/DevOps across FSIS engineering organization
  • Re-engineered Whole Genome Sequencing infrastructure via cloud shared service with FDA & CDC: $12M/yr in cost savings
  • Created and co-chaired the USDA Chief Technology Officer Council, coordinating technology strategy across the department’s 18 agencies and 105,000 employees, against a departmental IT portfolio then exceeding $3B annually
  • Served as CTO of an agency with roughly $1B in annual budget

Chief of Digital Innovation & Development (GS-15) April 2013 – October 2015
DHS U.S. Citizenship and Immigration Services (USCIS) | Washington, DC

  • Led first federal agency hackathon; built digital innovation program and implemented DevOps creating cross-functional development teams
  • Moved USCIS from traditional data centers to the AWS cloud
  • Introduced human-centered design and agile product development to a 20,000-person federal agency
  • Brought development cycle time down from years to months for new development, and from months to minutes for operations and maintenance

Earlier Federal Service

Business Analyst August 2011 – April 2013
U.S. General Services Administration (GSA) | Washington, DC

  • Led globally dispersed IT teams, contractors, and process owners to deliver mission-critical business applications — principally on the Salesforce platform — for 12,000+ CRM users
  • Created and maintained the Salesforce roadmap driving enterprise-wide adoption; application usage up 116% in FY12
  • Built and deployed the Marketing Information Management System for GSA’s National Marketing and Communications Division, and led the executive working group that redesigned the agency’s lead management process
  • Oversaw integration into the Salesforce enterprise environment supporting a $40B sales pipeline

EDUCATION

Doctor of Engineering (D.Eng.) – Artificial Intelligence & Machine Learning Expected August 2027
George Washington University, School of Engineering & Applied Science, Washington, DC

  • Praxis: “Specification-Driven Verification of Machine Learning Compliance Determinations” (in progress; expected August 2027)
  • Coursework: Computer Vision & Generative AI, Deep Learning & NLP, Data Engineering for AI, Applied ML Intelligence & Reinforcement Learning, Analytical Methods for Machine Learning
  • Research: LSTM RNN-based deep learning with Self-Attention for mental health semantic textual analytics; PyTorch on GCP GPU clusters

Master of Business Administration (MBA) – Information Systems, Corporate Finance, & Marketing 2008
George Washington University, Washington, DC

Bachelor of Arts, Corporate 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

PUBLICATIONS & INTELLECTUAL CONTRIBUTIONS

Doctoral research

Tunnessen, J. Specification-Driven Verification of Machine Learning Compliance Determinations. D.Eng. praxis, George Washington University School of Engineering & Applied Science (expected August 2027)

Bylined

Substack essays were published under the ExecutiveTech masthead, now Lab Notes — the Gradient Descent Labs journal.

Tunnessen, J. (FY2026). NEA Information & Technology Directive. National Endowment for the Arts (Author)
Tunnessen, J. (FY2026). NEA Information Resources Management Strategic Plan FY2026. National Endowment for the Arts (Author)
Tunnessen, J. (FY2026). NEA Artificial Intelligence Strategic Plan and Procedures FY2025. National Endowment for the Arts (Author)
Tunnessen, J. (2026). The Agentic Control Plane: Engineering Governance for the Autonomous Enterprise. Forbes Technology Council
Tunnessen, J. (2026). Why Identity Governance Is the Key Enabler for Secure AI Innovation. ExecutiveTech (Substack)
Tunnessen, J. (2026). One Developer. One Week. One Argument. ExecutiveTech (Substack)
Tunnessen, J. (2026). Escaping Pilot Purgatory: A Framework for Scaling Enterprise AI. Forbes Technology Council
Tunnessen, J. (2026). Government Technology Is Not Broken. Government Leadership Is Afraid. ExecutiveTech (Substack) — Anchor Essay
Tunnessen, J. (2026). Beyond the Pilot: The Data Architecture of Agentic Government. ExecutiveTech (Substack)
Tunnessen, J. (2025). The Case for Explainable AI: Why “Because the Algorithm Told You So” Won’t Cut It. ExecutiveTech (Substack)
Tunnessen, J. (FY2022). NEA Information Resources Management Strategic Plan FY2022. National Endowment for the Arts (Author)
Tunnessen, J. (FY2019). USAGM Artificial Intelligence Strategic Plan FY2019. Voice of America (Author)
Tunnessen, J. (FY2018). USAGM Information Resources Management Strategic Plan FY2018. Voice of America (Author)

Contributed

Work published under another masthead’s byline or as one of several named contributors.

Tunnessen, J. (2026). 20 Enterprise Risks Lurking Behind Open AI Adoption. Forbes Technology Council (Expert Panel Contributor)
Tunnessen, J. et al. (2020). ACT-IAC AI Playbook for the U.S. Federal Government. American Council for Technology–Industry Advisory Council (ACT-IAC) (Contributor)
Tunnessen, J. et al. (2019). AI/ML Primer for Government. American Council for Technology–Industry Advisory Council (ACT-IAC) (Contributor)

RESEARCH INTERESTS

Governance, explainability, and verification of agentic AI systems in regulated environments; NLP, deep learning, and privacy-preserving architectures.

APPLIED RESEARCH & SELECTED SYSTEMS BUILT

Cybersecurity Analysis & Documentation AI Agent 2026
Gradient Descent Labs | Developed independently and provided to the National Endowment for the Arts for agency use

  • Designed and built a purpose-built agentic AI system integrating NIST 800-53 rev 5, OWASP Top 10 for 2025, MITRE ATT&CK, MITRE CVEs, and CISA KEV
  • Repository scanning, vulnerability analysis, and MITRE ATT&CK assessment
  • Anchors published research on purpose-built vs. large-scale model thesis (Forbes Technology Council, 2026)

Section 508 Analysis & Documentation AI Agent 2026
Gradient Descent Labs | Developed independently and provided to the National Endowment for the Arts for agency use

  • Built a small, task-specific LLM agent for automated accessibility compliance evaluation
  • Demonstrated applied thesis: purpose-built models outperform generalist LLMs on constrained, high-frequency tasks

GitHub README Generator — Purpose-Built Agentic System 2026
Gradient Descent Labs | Production deployment

  • Deployed small, task-specific LLM agent for automated developer documentation generation
  • Demonstrated applied thesis: purpose-built models outperform generalist LLMs on constrained, high-frequency tasks

DevtoDeployment — Multi-Agent Python Application 2026
Gradient Descent Labs | GCP: Cloud Run, Pub/Sub, Firestore, GCS, Secret Manager

  • Architected multi-agent orchestration system using Python 3.12, LangGraph, and Google Cloud Platform
  • Integrated OpenClaw agentic gateway via Telegram; Anthropic Claude API as primary LLM backend

Tsunami Prediction System — End-to-End ML Pipeline on Azure 2026
Independent Applied ML Project | github.com/jtunnessen/tsunami-prediction-system | Azure App Service

  • Architected and deployed an end-to-end ML classification pipeline on Azure, optimizing recall and model interpretability for seismic risk analysis (89% tsunami recall)
  • Owned the full ML lifecycle — data ingestion, automated preprocessing, hyperparameter tuning, model serialization, and cloud deployment behind a web interface for real-time prediction

Mental Health Analysis via Textual Analytics 2025
Research Project — George Washington University | GCP GPU Clusters

  • Built a two-layer bidirectional LSTM with an additive attention mechanism over 300-dimensional GloVe embeddings, trained in two phases to classify self-reported mental-health discourse from a public research corpus
  • Rendered token-level attention heatmaps to show which spans drove each prediction, and examined algorithmic bias, explainability, and fairness using PyTorch on Google Cloud GPU infrastructure
  • Benchmarked against baseline NLP models. Academic coursework on a publicly available research dataset — not a screening instrument, not clinically validated, and not deployed

Ipsum NLP Auto-Transcription & Translation Tool 2019
Voice of America | USAGM

  • Designed and deployed “Ipsum,” VOA’s internal NLP transcription and translation tool, achieving 10x speed improvement
  • Adopted by four international media organizations; scaled across 20+ language services serving 275M+ weekly viewers

Whole Genome Sequencing Cloud Re-Architecture 2016
USDA Food Safety and Inspection Service | Cloud Shared Service with FDA & CDC

  • Led cloud migration and re-engineering of WGS infrastructure, yielding $12M per year in cost savings
  • Established first federal cloud shared service for genomic data spanning USDA, FDA, and CDC

Code for selected projects is published at github.com/JTunnessen.

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

TEACHING INTERESTS

Courses I am prepared to develop and teach at the graduate level:

  • Explainable AI (XAI) & Counterfactuals
  • AI Governance, Ethics & Policy
  • Orchestration & Oversight of Agentic AI Systems
  • Applied Machine Learning & Deep Learning
  • Federal Enterprise IT Strategy & Digital Transformation
  • Cybersecurity Leadership: Zero Trust and Beyond
  • Data Engineering for AI Systems
  • Technology Leadership for the CIO (nonprofit to Fortune 500)

TEACHING EXPERIENCE

Guest Lecturer — AI Governance, Federal Technology Leadership 2024 – Present
Various Venues | Washington, DC Metro Area

  • Delivered practitioner lectures on agentic AI governance, federal CIO leadership, and responsible AI deployment to professional and executive audiences
  • Moderated executive panels on AI strategy including SIM Capital Area Chapter sessions with OpenAI and NASA Goddard; GovLoop Executive Roundtables; ATARC Executive Roundtables

Chief Instructor, NCO Leadership School 1999 – 2000
United States Marine Corps | Marine Corps Air Station Beaufort, Beaufort, SC

  • Designed and delivered leadership curriculum for non-commissioned officer professional military education (PME)
  • Responsible for all school operations, instructor development, course scheduling, and academic quality
  • Taught leadership principles, tactical decision-making, and small unit management to Marines preparing for supervisory command
  • Developed and refined instructional materials; evaluated student performance and provided structured developmental feedback

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, Plans Officer, and IT Process & Policy Chief at Joint Force HQ
  • Approximately 14 years of combined military service across active and reserve components (U.S. Marine Corps 1995–2002; Virginia Army National Guard & U.S. Army Reserve 2008–2014)

PROFESSIONAL AFFILIATIONS & SERVICE

  • Forbes Technology Council — Member & Contributor
  • Institute of Electrical and Electronics Engineers (IEEE) — Member
  • International Association of Privacy Professionals (IAPP) — Member and Sponsor
  • Information Systems Audit and Control Association (ISACA) — Member
  • Association for the Advancement of 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
  • George Washington University Alumni Association — Member
  • College of Charleston Alumni Association — Member
  • Federal Chief Information Officer Council — Former Member (ex officio as NEA CIO, through 2026)
  • Federal Chief AI Officer (CAIO) Council — Former Member (ex officio as NEA CAIO, through 2026)
  • Federal Senior Agency Official for Privacy Council — Former Member (ex officio as NEA CPO, through 2026)

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)

PRESENTATIONS, SPEAKING ENGAGEMENTS & MEDIA

Keynotes & Featured Addresses

Federal Tech Leadership Summit: Lightning Talk — AI-Driven DevSecOps in Practice 2026
GovCIO Media & Research | Washington, DC

GITEC Conference: Opening Keynote — The Evolution of the CIO 2025
Government Information Technology Executive Committee Annual Conference | Washington, DC

FCW Briefing: Truly Digital Government: Beyond Better Websites 2019
FCW | Washington, DC

ATARC Federal DevOps Summit: Keynote and Master of Ceremonies 2017
Advanced Technology Academic Research Center (ATARC) | Washington, DC

Federal Innovation Summit: Creating Enclaves of Innovation 2016
Federal Innovation Summit | Washington, DC

Red Hat Government Symposium: It Will Take All of Us to Improve Federal IT 2016
Red Hat Government Symposium | Washington, DC

Red Hat Government Symposium: Keynote on Innovation 2015
Red Hat Government Symposium | Washington, DC

Invited Talks & Conference Presentations

Panel: The CIO and Innovation Officer Government/Audience Interchange May 2026
ACT-IAC Emerging Technology and Innovation Conference | Washington, DC

ATARC Executive Roundtable: Driving Mission Outcomes Through Data Relationships and Gen AI March 2026
Advanced Technology Academic Research Center | Washington, DC

ATARC Executive Roundtable: Building a Data Foundation March 2026
Advanced Technology Academic Research Center | Washington, DC

National Capital Region DoD Quarterly Historians Training Workshop September 2025
NCR DoD Historians | The Pentagon | Washington, DC

SIM Capital Area Chapter: AI at NASA Goddard Space Flight Center August 2025
Organizer & Moderator — Executive site visit and AI briefing at NASA Goddard | SIMCAC | Greenbelt, MD

SIM Capital Area Chapter: OSCAL — Panel with OpenAI April 2025
Moderator — Executive discussion panel on AI strategy and deployment with OpenAI | SIMCAC | Washington, DC

GovLoop Executive Roundtable: AI and Data in 2025 — The Opportunity and Challenge March 2025
GovLoop | Washington, DC

SIM Capital Area Chapter: AI in Practice — Panel with OpenAI February 2025
Moderator — Executive discussion panel on AI strategy and deployment with OpenAI | SIMCAC | Washington, DC

Amazon Media & Entertainment Conference 2019
Use of Machine Learning to Automate Localization for International Distribution | Amazon

ACT-IAC Emerging Technology Conference 2019
Use of Artificial Intelligence in Media and the Federal Government | ACT-IAC

Acquia Engage: Big Ideas 2019
Acquia Engage Conference | New Orleans, LA

ACT-IAC Executive Leadership Conference 2016
Curing What Ails Us: Imagine an Entirely Agile Government | ACT-IAC

ATARC Federal DevOps Summit: Visionary Panel — Agencies Adopting Agile Approaches 2016
Advanced Technology Academic Research Center | Washington, DC

Government Information Technology Executive Committee Summit 2016
DevOps from Idea to Continuous Improvement | GITEC | Washington, DC

Top Trends & Technologies Driving Mobility in Government 2016
Mobility in Government Conference | Washington, DC

GovLoop Webinar Course: Modernizing Your IT Infrastructure 2016
GovLoop | Virtual

Red Hat Government Symposium: Accelerating Application Delivery 2015
Red Hat Government Symposium | Washington, DC

ATARC Redefining Federal IT Conference 2015
Using Hybrid Cloud for Enhancing Mission Capabilities | ATARC | Washington, DC

ATARC Federal Cloud Computing Summit 2015
DevOps and Automation in the Cloud | ATARC | Washington, DC

USCIS Internal Leadership Forum 2015
DevOps, Open Source, and Kanban for Software Development | DHS USCIS | Washington, DC

Consumer Financial Protection Bureau (CFPB) 2014
Operating with Open Source and DevOps | CFPB | Washington, DC

GSA: Enterprise Social Networks, the New Reality 2012
U.S. General Services Administration | Washington, DC

Podcast, Radio & Media Appearances

Federal News Network: Cloud Exchange 2026
Interview on AI and digital strategy at NEA | Federal News Network

Federal News Network: Ask the CIO 2020
Interview on AI and digital strategy at VOA | Federal News Network

Federal News Network: Artificial Intelligence Helps VOA Translate Broadcasts Worldwide 2020
Podcast | Federal News Network

FedScoop TV: How Open Source Is Winning in Government 2015
Video Interview | FedScoop

Federal News Radio / WTOP 2015
How Citizen Services Can Be Transformed by Software Analytics | Radio Interview | WTOP Washington

Articles & Media Features

20 Enterprise Risks Lurking Behind Open AI Adoption 2026
Article | Forbes

FEDTECH Magazine: Culture Shock 2017
Interview / Feature Article | FEDTECH Magazine

GovLoop Book: Your Guide to DevOps in Government 2016
Featured as one of four government DevOps subject matter experts | GovLoop

FedTech Magazine: DevOps Is Here, and It’s Going to Change Your Agency’s Culture 2016
Article | FedTech Magazine

GovLoop Article: Modernizing Your IT Infrastructure 2016
Article | GovLoop

ModernGov: Accept the Challenge — Modernize Your IT Infrastructure 2016
Article | ModernGov

FCW Magazine: At USCIS, They DID(it) 2014
Feature Article | Federal Computer Week (FCW)