Artificial Intelligence (AI), Machine Learning (ML), and Product Management Executive
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior executive experienced in building secure, resilient, global technical infrastructure. I specialize in planet-scale machine learning and artificial intelligence applications and infrastructure, hybrid cloud, big data, and developer productivity, with over a decade of experience in industry with companies such as Google in addition to multiple years of research and development in academia.
University of Waterloo
Master of Applied Science in Engineering - MASc., Computer/software assisted manufacturing
N/A – Present
Stanford University
Computer Science
N/A – Present
Harvard Business School
Master of Business Administration - MBA
N/A – Present
Jewel ML
Board Member, President
November 1, 2018 – Present
Greater New York City Area
ERA, Tech Stars, NYU Leslie eLab
Business and Technical Mentor, Investor
January 1, 2018 – Present
New York, United States
Product Manager - Artificial Intelligence and Machine Learning Platform (Brain)
December 1, 2016 – Present
Product Manager - Cloud Computing Infrastructure
June 1, 2015 – January 1, 2017
Product Manager - Google Cloud Platform (GCP)
January 1, 2015 – January 1, 2017
Nonprofit Manager for Google.org
February 1, 2014 – February 1, 2016
Product Manager - Global Payments Infrastructure
July 1, 2013 – June 1, 2015
WePay
Product Manager
June 1, 2012 – September 1, 2012
Palo Alto, California
PowerInbox
Business Development
February 1, 2012 – May 1, 2012
Cambridge, Massachusetts
Hatch Ltd.
Engineer
January 1, 2009 – October 1, 2010
Greater Toronto Area, Ontario, Canada
University of Waterloo
Lecturer, Faculty of Engineering
September 1, 2008 – September 1, 2011
Waterloo, Ontario, Canada
University of Waterloo
Product Manager/Research Assistant
September 1, 2006 – December 1, 2008
Waterloo, Ontario, Canada
Making Great Sales Presentations
June 24, 2026 – Present
Sales Foundations
June 24, 2026 – Present
The Science of Sales
June 24, 2026 – Present
Certified Professional Engineer (P.Eng.)
Professional Engineers Ontario (Official Provincial Legislation Body)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background includes significant roles at Google, a major tech company, and involvement with accelerators and startups. This demonstrates adaptability across different organizational cultures, from large enterprises to entrepreneurial environments. Their mentorship roles and work with Google.org suggest a commitment to community and growth, which can be a positive cultural indicator. However, the target role is 'Data Analyst,' which is a significant shift from their extensive Product Management and leadership experience. While they have 'Machine Learning' and 'SQL' listed as skills in some roles, the depth of hands-on data analysis, statistical modeling, or specific data visualization tools typically expected for a senior Data Analyst is not explicitly detailed in their experience descriptions. This creates a potential mismatch in the day-to-day responsibilities and technical depth required for a dedicated Data Analyst role versus a Product Manager overseeing data-driven products.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and strategic planning skills through their roles as Board Member, President, and Business/Technical Mentor. Their extensive Product Management experience at Google, particularly in AI/ML and Cloud, indicates a strong ability to manage complex technical projects, drive product vision, and collaborate with engineering teams. The descriptions highlight an ability to handle planetary-scale data, ultra-high availability, and low latency systems, suggesting a robust operational understanding. The candidate's experience in revamping API user experience and developer documentation also points to strong communication and user-centric design skills.