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Machine Learning Scientist | Research Engineer | Probabilistic Modeling and Agentic Systems
Machine Learning Scientist and Research Engineer specialized in the deployment of uncertainty aware AI systems within enterprise scale architectures. My work focuses on the formal derivation and deployment of robust models for complex decision making, spanning causal digital twins, predictive simulation, and multimodal agentic workflows. I bridge the gap between technical research and high availability engineering. My approach prioritizes the integration of formal probabilistic reasoning with scalable infrastructure to ensure system reliability and factual grounding. I specialize in architecting solutions that maintain technical rigor while meeting the operational requirements of highly regulated production environments. (Original Neon Bayes LinkedIn background photo courtesy of Matt Buck. https://www.flickr.com/photos/mattbuck007/3676624894; Pride Bayes background modified from the above by me, with LGBT Pride Flag, courtesy of Wikimedia Commons. https://commons.wikimedia.org/wiki/File:LGBT_Rainbow_Flag.png)
University of Illinois Springfield
Master of Science
January 1, 2014 – January 1, 2017
University of Arizona
Bachelor's Degree, Mathematics, Philosophy
January 1, 2006 – January 1, 2010
Self-employed
Independent AI Consultant | Research Machine Learning Engineer
November 1, 2025 – Present
San Francisco Bay Area
GoFundMe
Senior Machine Learning Engineer
July 1, 2025 – November 1, 2025
San Francisco Bay Area · Hybrid
Aktus AI, Inc.
Principal ML Scientist and Senior Technical Lead
June 1, 2024 – January 1, 2025
Hybrid
Aktus AI, Inc.
Machine Learning Engineer
March 1, 2024 – June 1, 2024
Hybrid
Accenture
Associate Principal R&D Scientist in Machine Learning
November 1, 2021 – January 1, 2024
San Francisco, California, United States · Hybrid
OSARO, Inc.
Machine Learning Engineer
October 1, 2019 – October 1, 2021
San Francisco Bay Area
Accenture
Data Scientist
September 1, 2018 – October 1, 2019
Accenture
Artificial Intelligence Analyst
September 1, 2017 – August 1, 2018
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Machine Learning
edX
June 24, 2026 – Present
Functional Programming in Scala Specialization
Coursera
June 24, 2026 – Present
Big Data Analysis with Scala and Spark
Coursera
June 24, 2026 – Present
Parallel programming
Coursera
June 24, 2026 – Present
Functional Program Design in Scala
Coursera
June 24, 2026 – Present
Functional Programming Principles in Scala
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background, working across consulting (Accenture), startups (Aktus AI, OSARO), and non-profits (GoFundMe), as well as independent consulting. This breadth of experience suggests adaptability to different organizational cultures and project types. The focus on advanced ML research and practical application aligns well with a senior ML Engineer role. However, the lack of specific project details beyond job descriptions makes it difficult to fully assess cultural alignment with a specific team environment.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving technical leadership and independent consulting, suggesting strong problem-solving, autonomy, and potentially good communication skills. The descriptions of architectural audits and fairness frameworks indicate a focus on robust and ethical AI development. However, without psychometric or English test results, a definitive assessment of soft skills, stress handling, and team collaboration cannot be made.