Bryant McGill – AI & Intelligence Systems Resume

**Available For:** - Chief AI Officer / CTO / AI Governance Advisor / Board roles - Strategic Consulting & Speaking (AI alignment, governance, symbiosis frameworks) - Cleared AI / OSINT / Intelligence Systems Architect roles - National security AI strategy & technical advisor positions (Secret/TS eligible) - Defense contractor roles requiring historical C4ISR + linguistic infrastructure experience Immediate availability — Austin base with global travel/remote capability. Historical SECRET / Provisional TS-SCI clearance eligible for renewal. --- **Two targeted versions + full historical archive** **Version A: Executive / Governance / CAIO** | **Version B: Defense / Cleared / Operator** | **Full Extended Technical Portfolio (35-year archive)** --- ## Version A – Executive / Governance / CAIO Version *(For boards, alignment roles, strategy positions, speaking, corporate/government)* ```markdown # Version A – Executive / Governance / CAIO Version (For boards, alignment roles, strategy positions, speaking, corporate/government) # Bryant McGill **Computational Linguist & AI-Human Systems Pioneer** bryantmcgill@gmail.com | bryantmcgill.com | linkedin.com/in/bryantmcgill (469) 880-1700 | Austin/Dallas, Texas, US I’m **not** an “AI expert” in the narrow 2023–2026 sense — the kind who fine-tunes transformers or publishes papers on the latest techniques. I’m a language guy, and that’s my real strength. I’ve been inside the actual cognitive machinery of intelligence systems since I was a kid — long before most of today’s AI labs even existed. At its root, modern AI is language modeling at planetary scale. Embeddings, semantics, phonetic patterning, associative reference systems, knowledge graphs, and natural-language-to-code translation — every core capability that powers today’s large language models — traces directly back to the computational linguistics foundation I was already building in the 1990s. Projects like VersePerfect, Poet’s Muse, Living Language, my large-scale linguistic datasets, and early systems such as the U.S. Senate global media monitoring engine were all part of that work. The transformers and GPUs we see now are simply the latest brute-force layer on top of that deeper linguistic and cybernetic substrate. Cybernetics has been the through-line for me for decades — Wiener’s feedback loops, human-machine symbiosis, emergent control systems. I didn’t read about it in a blog; I grew up studying it, worked on classified C4 systems that embodied it, built semantic engines that put it into practice, and have watched the entire stack scale into the behavioral mediation infrastructure we live with today. AI has become a massive phenomenon in recent years, but it’s never really been new to me. I’ve been deeply immersed in this world for decades, often so buried in markdown, language systems, parsers, semantic engines, and linguistic structures that I missed much of the commercial hype and fanfare. When I say “I’m a language guy,” I own that identity completely. It’s not a limitation at all — it’s the perspective that gives me a clear view of the long historical continuity in how intelligence systems actually develop and operate. **Executive Summary** Technologist with 35+ years in AI-adjacent systems, computational linguistics, and large-scale behavioral intelligence infrastructure. Early developer of semantic engines, knowledge graphs, and natural-language-to-code systems that prefigured modern LLMs by decades. Hands-on experience with classified command-and-control systems (U.S. Navy, SECRET clearance with TS/SCI provisional) and real-time global media intelligence platforms for the U.S. Senate. Former CTO with P&L responsibility; built media ecosystems reaching 1B+ people annually. Focused today on AI alignment, governance, and human-AI symbiosis frameworks. **Key AI & Systems Achievements** - 1990s Computational Linguistics Pioneer: Built semantic/phonetic structuring engines, associative reference systems, and pattern-based linguistic tools (McGill English Dictionary of Rhyme, VersePerfect, Poet’s Muse, Living Language) used by 500,000+ writers and researchers — early embedding-style and context-aware systems predating Word2Vec and modern creative AI assistants by 20+ years. - Pre-Google Knowledge Graphs (2000s): Developed structured ontological systems from Wikipedia, Freebase, DBpedia, and federated sources; collaborated with WordNet (Princeton), FrameNet, BabelNet research teams. - Natural Language-to-Code DSL (2015): Created interpreter translating high-level natural language intent into executable code across multiple languages — predating GitHub Copilot by nearly a decade. - 400TB+ Linguistic Dataset: Curated global-scale databases supporting early AI training methodologies. - Classified Compute Exposure: Worked on gigabit/parallel processing infrastructure at Draper Parallel Computing Center (near NSA data operations) and ZIPP fiber-optic network systems. - 1993–1995 U.S. Senate Global Media Monitoring System: Senior Systems Architect for Intelenet — engineered one of the first real-time satellite + closed-caption indexing platforms monitoring 200+ international TV channels for legislative intelligence (precursor to modern OSINT/social listening). - Academic & Industry Recognition: Collaborated with research teams at CMU, Stanford, Princeton, Harvard, Cambridge; cited in hundreds of books and publications on AI, linguistics, and cognitive science; WSJ front-page feature, Forbes, Inc., NASDAQ Lifetime Achievement. **Professional Experience** **Founder & CEO — XAMMON Technologies** (2010–Present) Advanced AI-human interface and emergent intelligence platforms. Developing diplomatic symbiosis frameworks, bio-cybernetic convergence models, and substrate-agnostic intelligence systems. **Founder & CEO — McGill Media** (2000–Present) Built global media ecosystem reaching 1B+ people annually (12M+ organic subscribers). Early algorithmic content optimization, behavioral pattern analysis, and social graph systems. **Chief Technology Officer — Artesian Direct / Webiness** (1999–2003) Led technology for gigabit/parallel computing SaaS company. Managed P&L, web development teams, M&A integration. Deployed systems on Draper Parallel Computing Center infrastructure. **Senior Systems Architect — Intelenet / Triad Center** (1993–1995) Designed and built U.S. Senate real-time global media intelligence system (satellite feeds, closed-caption extraction, sub-second indexing across 200+ channels). **U.S. Navy Data Processing Technician (DP/DS)** (1989–[classified]) Pearl Harbor / USCINCPAC. Executive Assistant to J6 Director (C4 Systems). Managed Pacific Theater Global Command and Control System (GCCS) and WWMCCS site. RF security, TEMPEST, compartmented TS/SCI operations. **Core Competencies** - Natural Language Processing & Computational Linguistics - Knowledge Graphs & Semantic Systems - AI Alignment, Governance & Human-AI Symbiosis - Large-Scale Behavioral Pattern Analysis & Influence Systems - Classified & High-Performance Compute Infrastructure - Executive Leadership & Strategic M&A **Available For** Chief AI Officer / CTO / AI Governance Advisor / Board / Strategic Consulting / Speaking Immediate availability — Austin base with global travel/remote capability. Historical SECRET/TS-SCI clearance eligible for renewal. ``` --- ## Version B – Defense / Cleared / Operator Version *(For cleared contractors, OSINT/AI fusion, national security technical roles)* ```markdown # Version B – Defense / Cleared / Operator Version (For cleared contractors, OSINT/AI fusion, national security technical roles) # Bryant McGill **Computational Linguist & Intelligence Systems Architect** **Security Clearance:** SECRET (historical) with Provisional Top Secret/SCI Authorization — eligible for renewal bryantmcgill@gmail.com | (469) 880-1700 | Austin/Dallas, Texas, US (global travel/remote) **Professional Summary** 35+ years designing, building, and operating large-scale intelligence and behavioral infrastructure systems. Architected real-time global media monitoring pipelines for the U.S. Senate, managed Pacific Theater command-and-control nodes, and deployed systems on gigabit/parallel compute infrastructure adjacent to NSA-scale operations. Early developer of semantic/phonetic structuring engines, knowledge graphs, and natural-language-to-code interpreters that pre-dated modern LLMs by decades. Proven ability to deliver sub-second indexing across hundreds of live global feeds and scale organic behavioral-influence systems to planetary levels. **Key Technical Achievements** - 1993–1995 U.S. Senate Global Media Monitoring System — Senior Systems Architect (Intelenet/Triad Center). Engineered one of the first real-time satellite + closed-caption indexing platforms monitoring 200+ international TV channels. Designed custom multi-language extraction, time-synchronized indexing, and sub-second search engine for legislative intelligence and pre-OSINT threat monitoring. - U.S. Navy Data Processing Technician (DP/DS) — Pearl Harbor / USCINCPAC (1989–[classified]). Executive Assistant to J6 Director (C4 Systems). Operated Pacific Theater Global Command and Control System (GCCS) and WWMCCS site. Handled RF security, TEMPEST, compartmented TS/SCI operations, and Honeywell DPS6 H6000 mainframe systems in classified environment. - Gigabit / Parallel Compute Infrastructure — Chief Technology Officer, Artesian Direct / Webiness (1999–2003). Led deployment on Draper Parallel Computing Center infrastructure (adjacent to NSA data operations, Grant County). Built video-over-IP network appliances, printer head-end systems, and high-availability enterprise architectures on parallel processing frameworks. - Early Computational Linguistics & Semantic Engines (1990s) — Built semantic/phonetic structuring engines, associative reference systems, and pattern-based linguistic tools (McGill English Dictionary of Rhyme, VersePerfect, Poet’s Muse, Living Language). Used by 500,000+ writers/researchers — early embedding-style and context-aware systems predating Word2Vec by 20+ years. - Natural Language-to-Code DSL Interpreter (2015) — Created domain-specific language translator converting high-level natural language intent into executable code across JavaScript, Python, and SQL. - 400TB+ Linguistic Dataset Curation — Built global-scale structured knowledge bases from Wikipedia, Freebase, DBpedia, and federated sources; collaborated with WordNet (Princeton), FrameNet, and BabelNet teams. **Professional Experience** **Chief Technology Officer — Artesian Direct / Webiness** (1999–2003) Led technology division with full P&L responsibility. Managed web development teams, M&A integration, and deployment on Draper Parallel Computing Center gigabit/parallel infrastructure. Developed scalable enterprise architectures using PERL, mod_perl, Delphi/Pascal, JavaScript, PHP, Apache, and high-availability parallel processing frameworks. **Senior Systems Architect — Intelenet / Triad Center** (1993–1995) Designed and implemented U.S. Senate real-time global media intelligence system (200+ satellite TV channels, closed-caption extraction, sub-second indexing, multi-language processing). **U.S. Navy Data Processing Technician (DP/DS)** (1989–[classified]) Pearl Harbor / USCINCPAC. Managed GCCS and WWMCCS operations, RF/TEMPEST security, and compartmented TS/SCI systems. **Core Technical Proficiencies** - Languages & Frameworks: Python, JavaScript, PERL, mod_perl, Delphi/Pascal, SQL, Apache - Systems: Real-time satellite/closed-caption indexing, sub-second search engines, parallel/gigabit compute, high-availability architectures, Honeywell DPS6 H6000 mainframes - Intelligence Domains: OSINT/media monitoring pipelines, C4ISR/GCCS/WWMCCS operations, RF security/TEMPEST, compartmented TS/SCI systems - Linguistic Infrastructure: Semantic/phonetic structuring, knowledge graphs, natural-language-to-code translation, large-scale dataset curation (400TB+) **Available For** - Cleared AI / OSINT / Intelligence Systems Architect roles - AI governance & strategy positions with Secret/TS eligibility - National security AI researcher / technical advisor roles - Defense contractor positions requiring historical C4ISR + linguistic infrastructure experience Immediate availability. Historical SECRET / Provisional TS-SCI clearance eligible for renewal. Full digital infrastructure for remote or on-site work. Global travel capability. ``` --- ## Full Extended Technical Portfolio The complete, unfiltered 35-year documentation — every project, AI-adjacent relevance note, technical specification, Senate system details, influence operations metrics, and appendices — is available here: → **[Full Detailed Resume & Extended Documentation](https://bryantmcgill.blogspot.com/p/resume-extended.html)**