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AI Systems Engineer, Instrument-Rated Pilot (Cirrus SR20/SR22), Master Builder
I'm an expert in transforming complex problems and datasets into intelligent software solutions. I have done this for consumers, b2b, life science, health, multimedia and enterprise companies. My expertise spans AI engineering, data science, software development plus product management across the full stack. I have led the process to design, architect, build, and launch products for startups and large corporations. Balancing these skills with a keen business sense = a product visionary who knows how to build it. McKinsey categorizes me as a “Translator”, able to bridge across the disciplines of data, programming, and decision making by reframing complex needs into actionable insights. In short, you can consider me a Master Builder.
University of Washington
Machine Learning Specialization (Coursera)
January 1, 2016 – January 1, 2017
University of California, Berkeley
Graduate Studies, Molecular Cell & Integrative Biology
January 1, 1997 – January 1, 2000
Michigan State University
BS, Physics and Astrophysics
N/A – Present
Michigan State University
BS, Physics
N/A – Present
IBM
Principal AI Engineer, Build Engineering
June 1, 2025 – Present
San Francisco, California, United States · Hybrid
IBM
Principal Cloud AI Engineer, Client Engineering
October 1, 2021 – October 1, 2024
IBM
Global AI Lead for Content Intelligence, IBM Research
July 1, 2020 – October 1, 2021
IBM
Associate Partner, Global Enterprise AI Architect
March 1, 2019 – July 1, 2020
IBM
Technical Product Manager, Watson Data & AI
February 1, 2017 – February 1, 2019
IBM
Solutions Architect - Watson Ecosystem
August 1, 2014 – February 1, 2017
Vital Connect
Senior Engineer, Mobile Health Sensors
January 1, 2013 – July 1, 2014
Campbell, CA
Thermo Fisher Scientific
Mobile and eBusiness Engineering Lead
April 1, 2011 – December 1, 2012
Waltham, MA
Antics Online, Inc.
Senior Engineer, Mobile Health Applications
January 1, 2010 – January 1, 2014
Belmont, CA
SEVEN Networks
Senior Software Engineer, Android
January 1, 2010 – May 1, 2012
Redwood City, CA
Infidian
CTO, Founder
May 1, 2007 – August 1, 2014
San Francisco
Epocrates
Product Manager, Mobile Medical Education
January 1, 2006 – January 1, 2007
Life Technologies (Invitrogen)
Product Manager, eScience
July 1, 2003 – October 1, 2006
Centient
Software Engineer, Genomics Tooling
June 1, 2002 – August 1, 2003
DoubleTwist
Software Engineer, Genomics Visualization
July 1, 2000 – April 1, 2002
Oakland, CA
Lecture: Building Intelligent Systems Using Cognitive Patterns
March 1, 2016 – Present
This talk explored the emerging business and software architecture patterns seen in deploying cognitive systems. Use cases covered numerous verticals and technologies (implementation focused on Watson for obvious reasons).
Lecture: How to develop a Natural Language Dialog System
April 1, 2015 – Present
Presentation on how to build a very basic virtual personal assistant (think minimalist Siri). A framework for architecting a VPA using reasoning pipelines was presented. Example code was provided which showed how to implement a VPA using Watson Natural Language Classifier plus Watson Dialog services.
Lecture: Five Steps to Build a Cognitive App with IBM Watson
February 1, 2015 – Present
This talk cover the key concepts you need to know about Watson and cognitive computing to get started.
I Am Generess
May 1, 2010 – Present
The 'I Am Generess" iPhone app delivers patient education and community engagement around women's health and lifestyle. The app was developed as part of a campaign for the launch of Watson Pharmaceutical's Generess brand of oral contraceptive.
Cultural Fit Analysis
The candidate has a diverse background spanning mobile development, product management, and AI. While their early career aligns well with mobile development, the significant recent focus on AI at IBM suggests a different career trajectory. The projects listed are primarily lectures on cognitive computing and one older iPhone app. This might indicate a preference for strategic/architectural roles over pure development, which could be a mismatch for a hands-on Android Developer role. The long tenure at IBM in various AI-focused roles suggests a preference for large enterprise environments.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and product management skills, particularly in the mobile and AI domains. Their experience as a CTO and in various lead engineering roles suggests an ability to drive projects and manage teams. The shift towards AI in later career stages indicates adaptability, but also a potential pivot away from hands-on Android development.