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AI Generalist. Written 20+ books, 50+ US patents. Open to development and writing gigs.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have been working as a practitioner using AI and machine learning technology since 1982 (same year Common Lisp became my most used language). I am the author of 20+ books (most on AI and machine learning). I have 55 US patents. https://markwatson.com I am currently specializing in Large Language Models and LangChain and Llama-Index integrations, Deep Learning, and the Semantic Web. I am looking for part time work as an advisor and consultant.
University of California, Santa Barbara
Bachelor's degree, Physics
N/A – Present
Mind AI
Chief Architect
May 1, 2022 – March 1, 2023
Seoul, South Korea
Babylist
Lead Machine Learning Engineer
October 1, 2021 – March 1, 2022
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Olive
Semantic Web, Lisp, and Search Engineer
September 1, 2020 – April 1, 2021
Sedona, Arizona, United States
Capital One
Tech lead and manager for machine learning team, Master Software Engineer
August 1, 2017 – March 1, 2019
Urbana-Champaign Area
Consultant at Google
September 1, 2013 – December 1, 2013
Embed.ly
Consultant working on text mining and text analytics
May 1, 2012 – July 1, 2012
MegaEnglish
Consultant working on Natural Language Processing for online learning system
February 1, 2012 – July 1, 2013
SiteScout
Consultant working on large scale Java infrastructure
August 1, 2011 – February 1, 2013
Pace Anti Piracy
Java EE 6 development - Developer
January 1, 2011 – December 1, 2011
CompassLabs
Consultant working on algorithms, machine learning and infrastructure
May 1, 2010 – August 1, 2011
Compass Labs
Consultant working on text analytics for social media
March 1, 2010 – February 1, 2012
GHX
Consultant working on artificial Intelligence algorithms and infrastructure
January 1, 2007 – January 1, 2009
SAMBA
Consultant working as a software architect on Java infrastructure
September 1, 2003 – April 1, 2004
Webmind/Intelligenesis
Senior AI developer
January 1, 1999 – January 1, 2001
Webmind
Senior Artificial Intelligence Developer
January 1, 1999 – January 1, 2001
KnowledgeBooks.com
Principal architect and AI programmer
January 1, 1999 – January 1, 2000
KnowledgeBooks.com
Principal architect and AI programmer
January 1, 1999 – January 1, 2000
Mark Watson Consulting Services
Independent Java consultant
August 1, 1998 – June 1, 2009
Angel Studios
Game Developer: AI
March 1, 1997 – September 1, 1998
Angel Studios
Independent Java consultant
January 1, 1996 – January 1, 1997
Angel Studios
Independent Java consultant
January 1, 1996 – January 1, 1997
SAIC
Senior COmputer Scientist
January 1, 1983 – January 1, 1995
SAIC
Software Developer scientific programmer and artificial intelligence
September 1, 1978 – March 1, 1998
La Jolla Computing Services
Assistant Director and systems programmer/applications programmer
January 1, 1978 – January 1, 1982
SAIC
Scientific and applications programmer
January 1, 1973 – January 1, 1977
LFS171x: Blockchain for Business - An Introduction to Hyperledger Technologies
edX
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a very diverse background, working across various industries (AI, e-commerce, finance, gaming, anti-piracy, healthcare) and roles (developer, consultant, architect, lead, manager). This breadth suggests adaptability and a willingness to engage with different problem domains. The focus on AI, ML, and data-intensive projects aligns well with a Big Data Engineer role, indicating a strong interest in data-driven solutions. However, the frequent short-term consulting engagements might suggest a preference for project-based work over long-term team integration, which could be a factor for cultural fit depending on the organizational structure. The target role of 'Big Data Engineer' aligns with the candidate's historical focus on large-scale data and AI systems.
Soft Skills & Operational Fit
The candidate's extensive experience in lead and architect roles suggests strong problem-solving, decision-making, and potentially team leadership skills. The long career trajectory across various companies, including consulting, indicates adaptability and a broad operational understanding. However, without specific psychometric test results or interview data, a definitive assessment of soft skills like stress handling or team collaboration is not possible.