Mark Watson

Systems Thinker & Generalist AI Expert

Synthesizing complex technologies across 40+ years of computing. I approach artificial intelligence through a systems-thinking lens by bridging modern LLMs, neural networks, knowledge graphs, and symbolic reasoning with large-scale distributed architectures.

Self-funded open source researcher and author, with engineering and advisory experience for organizations including Google, Mind AI, Capital One, Disney, SAIC/Leidos, DARPA, Babylist, Olive AI, and CompassLabs.

40+ Years in AI

20+ Books Published

55 US Patents

Systems Thinking Explore My Books Connect with Me

Systems Architecture & Track Record
Architecting intelligent and distributed systems since 1985: large-scale distributed systems for DARPA and PacBell; knowledge graph extraction at Google; Master Software Engineer leading AI initiatives at Capital One; and 20 years architecting mission-critical defense systems at SAIC/Leidos.

Perspective

Systems Thinking & Generalist AI

Real-world intelligence emerges from how interconnected subsystems interact, not from standalone models in isolation.

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Holistic Systems Architecture

AI models do not exist in a vacuum. A true systems approach designs the entire feedback loop: data ingestion, knowledge representations, agentic orchestration, latency constraints, guardrails, and distributed operational scalability.

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Neuro-Symbolic Integration

Bridging the intuitive pattern matching of deep learning and LLMs with the verifiable rigor, precision, and explainability of knowledge graphs, ontologies, and symbolic reasoning engines.

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Multi-Paradigm Polyglot

A generalist view across paradigms—functional (Lisp, Clojure, Haskell, Scheme), object-oriented, and imperative (Python, Java, C++, Swift)—choosing the optimal cognitive fit and runtime characteristics for each subsystem.

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40+ Years of Long-Horizon Vision

From early expert systems and neural networks in the 1980s to DARPA-grade distributed systems, Semantic Web standards, and cutting-edge generative AI, bringing deep historical wisdom and durable architecture beyond fleeting trends.

Books

Read My Books — Many for Free

Bridging modern LLMs, neuro-symbolic AI, knowledge graphs, and functional programming across 9+ languages. Most can be read online at no cost.

Practical Python Artificial Intelligence Programming AI · Deep Learning · Semantic Web

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Loving Common Lisp, or the Savvy Programmer's Secret Weapon Common Lisp · Deep Learning · NLP · Semantic Web

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Practical Artificial Intelligence Programming With Clojure Clojure · AI · Data Science · Semantic Web

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Haskell Tutorial and Cookbook Haskell · Functional Programming

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Practical AI Programming With Java Java · AI · Data Science · Semantic Web

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A Lisp Programmer Living in Python-Land (Hy Language) Hy · Python · AI · Knowledge Graphs

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Loving Lisp Is Being Rewritten

I am currently rewriting my Loving Common Lisp book. The last complete version before the rewrite began — the August 2026 edition — is available as a free PDF: Download the August 2026 PDF ↗

View All Books on Leanpub ↗

More eBooks & Traditional Publications

Additional eBooks on Leanpub

Traditional Publications (Springer-Verlag, McGraw-Hill, Morgan Kaufmann)

📖 Scripting Intelligence: Web 3.0 Information Gathering and Processing — APress, 2009
📖 Java 10 Minute Solutions — Sybex, 2004
📖 Intelligent Java Applications for the Internet and Intranets — Morgan Kaufmann, 1997
📖 Common LISP Modules: AI in the Era of Neural Networks and Chaos Theory — Springer-Verlag, 1991
📖 Understanding UML: The Developer's Guide — Morgan Kaufmann, 1997
📖 C++ Power Paradigms — McGraw-Hill, 1994
📖 AI Agents in Virtual Reality Worlds — J. Wiley, 1996
📖 Programming in Scheme — Springer-Verlag, 1996
📖 Programming Intelligent Agents for the Internet — McGraw-Hill, 1996

Free Semantic Web PDFs & Material

Beyond Code

Connect & Interests

My writings, open source projects, consulting, and creative pursuits.

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Writings & Blogs

Follow my programming experiments and book updates on Blogspot, or subscribe to my AI reflections newsletter on Substack.

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Open Source

My repositories are open and active on GitHub, spanning neuro-symbolic AI engines, graph databases, LLM tooling, and distributed systems across 9+ programming languages.

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Consulting

I selectively take on small, high-impact consulting projects — particularly around holistic systems architecture, neuro-symbolic AI, knowledge graphs, and enterprise LLM/RAG integration. Inquire via Email.

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Interests & Music

Outside of tech, I enjoy hiking the Arizona trails, photography, cooking, and making music. Here are some of my acoustic guitar and didgeridoo clips:

Boogie Guitar

Spanish Guitar

Didgeridoo Session

Mentoring

Free Mentoring for Technical Projects

I offer 45-minute mentoring sessions to help with technical problems.

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How It Works

Contact me at [email protected] to schedule a free 45-minute mentoring session. Each session is limited to 45 minutes.

Note: These sessions are specifically for helping with technical problems (systems architecture, AI/ML engineering, neuro-symbolic design, knowledge graphs, polyglot coding, and debugging). They are not for discussing unemployment, job seeking, career counseling, or general life advice.