EdTech and machine intelligence research and development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Building conversational AI that assists instead of manipulates. Our chatbots can be directly controlled by their users, instead of the other way around.
Coursera
Computer Science
January 1, 2011 – January 1, 2018
Udacity
Computer Science
January 1, 2011 – January 1, 2018
Georgia Institute of Technology
MS, Dynamics and Controls
October 1, 1995 – November 1, 1996
Vanderbilt University
BS, Physics and English
January 1, 1989 – January 1, 1993
Utiliware
Senior Machine Learning Engineer
August 1, 2024 – February 1, 2025
San Diego, California, United States · Hybrid
San Diego Community College District
Adjunct Professor
November 1, 2022 – Present
San Diego, California, United States · Hybrid
Omdena
ML Engineer, on the Misinformation Detection Proj
February 1, 2021 – February 1, 2021
Remote
Tangible AI
Chief Technology Officer
February 1, 2020 – Present
Tangible AI
Cofounder and CTO
February 1, 2020 – May 1, 2024
Tangible AI
Data Science Dev Ops Engineer, Tangible AI
December 1, 2019 – May 1, 2020
qary
Open Source Contributor
October 1, 2019 – August 1, 2024
San Diego, California, United States
Mindcurrent
Chief Data Scientist
August 1, 2019 – December 1, 2019
Portland, Oregon Area
Manceps, Inc.
NLP Architect
January 1, 2019 – August 1, 2019
Portland, Oregon
DeepCanopy
CTO
January 1, 2019 – June 1, 2019
Portland, Oregon Area
Aira
Head of Artificial Intelligence
October 1, 2017 – June 1, 2018
Greater San Diego Area
Talentpair
Sr Data Scientist
November 1, 2015 – March 1, 2017
Portland, Oregon
Intel Labs
Machine Learning Developer
May 1, 2015 – October 1, 2015
Portland, Oregon Area
Total Good
President
April 1, 2015 – December 1, 2016
Greater San Diego Area
Sharp Labs of America
Principal Data Scientist
December 1, 2014 – April 1, 2015
Portland, Oregon Area
Sharp Labs of America
Principal Data Scientist
August 1, 2013 – December 1, 2014
Portland, Oregon Area
Building Energy Inc.
Chief Data Scientist
July 1, 2013 – August 1, 2013
Portland, Oregon
Building Energy, Inc
Developer
September 1, 2012 – June 1, 2013
Portland, Oregon Area
Squishymedia
Developer
May 1, 2012 – November 1, 2012
Portland, OR
TotalGood
Principal
October 1, 2008 – October 1, 2012
Portland, Oregon Area
Northrop Grumman
Senior Systems Engineer
October 1, 2005 – October 1, 2008
Northrop Grumman
Section Head
October 1, 2002 – January 1, 2007
United Technologies Research Center
Research Engineer
October 1, 1994 – April 1, 1995
Brandon Hall School
Physics Teacher
August 1, 1994 – September 1, 1995
Making an Impact with Python Natural Language Processing
January 1, 2016 – June 1, 2016
PyCon 2016 tutorial on building a Twitter impaction prediction tool using Python natural language processing (NLTK, pug-nlp) and machine learning packages (scikit-learn, scipy, gensim).
First Robotics Competition, Team 1432
December 1, 2013 – Present
Mentor for Franklin High School national robotics competition, FIRST 2014.
U.S. Department of Energy - Buildings Performance Database
October 1, 2012 – October 1, 2013
The BPD can statistically analyze trends in the energy performance and physical and operational characteristics of tens of thousands of commercial and residential buildings across the country.
Teamosphere
March 1, 2012 – September 1, 2012
Social media web application for sports team event management.
BitCrawl
February 1, 2012 – March 1, 2012
An automated webcrawler, dataminer, and financial forecaster for bitcoin.
Tagim
May 1, 2011 – May 1, 2012
Command-line tool for image tagging, sharing, and photo-journaling.
Ship's Log
October 1, 2008 – October 1, 2010
Custom PHP and javascript for blogging from remote locations (e-mail through low-band-width connections).
TerraHawk Autonomous Vehicle
September 1, 2002 – August 1, 2005
TerraHawk was an autonomous vehicle for the DARPA Grand Challenge.
Neural Networks for Machine Learning
Coursera
June 24, 2026 – Present
Logic: Language and Information 1
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Game Theory II: Advanced Applications
Coursera
June 24, 2026 – Present
Text Mining and Analytics
Coursera Course Certificates
June 24, 2026 – Present
Artificial Intelligence Planning
Coursera
June 24, 2026 – Present
Neural Networks for Machine Learning by University of Toronto on Coursera
Coursera
June 24, 2026 – Present
Text Retrieval and Search Engines
Coursera Course Certificates
June 24, 2026 – Present
Agile Scrum Boot Camp (PMI #1424 - AGL1102)
Construx Software
June 24, 2026 – Present
Data Science Intensive
Springboard
June 24, 2026 – Present
Automata (Distinction)
Coursera
June 24, 2026 – Present
Cryptography I
Coursera
June 24, 2026 – Present
Programming a Robotic Car (Highest Distinction)
Udacity
June 24, 2026 – Present
Design of Computer Programs (Highest Distinction)
Udacity
June 24, 2026 – Present
Game Theory (Distinction)
Coursera
June 24, 2026 – Present
Introduction to Mathematical Thinking
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong inclination towards social good and open-source contributions, as seen in their work with Tangible AI, Total Good, and Omdena. This suggests a value alignment with organizations focused on positive impact. The diverse range of projects, from robotics to financial forecasting, indicates intellectual curiosity and a willingness to explore various domains. The long tenure in some roles (e.g., Tangible AI) suggests commitment, while the variety of companies indicates adaptability. However, the target role of 'Data Analyst' might be a step down from their extensive leadership and architect roles, which could impact long-term cultural fit if growth opportunities are not clearly defined.
Soft Skills & Operational Fit
The candidate's experience as a Section Head at Northrop Grumman and an Adjunct Professor suggests strong leadership, mentorship, and communication skills. Involvement in Agile Scrum master roles indicates familiarity with agile methodologies. The breadth of roles from developer to CTO implies adaptability and a comprehensive understanding of project lifecycles. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.