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CPO at Virtualitics, Inc.
CPO at Virtualitics, where my org defines the product strategy and collaborates technical leadership to execute our vision of AI-Native Readiness. Previously, I was the co-head of AI, where I managed the development of new AI capabilities for Virtualitics Iris. Over the years, I hold several patents in areas like data visualization, artificial intelligence, network science, and telecommunications. I graduated from Caltech for Computer Science with a particular focus on AI, ML, and Systems Engineering. During my time at Caltech, I developed and taught courses on big data frameworks utilizing Spark/Hadoop. I also contributed to research efforts at both Caltech and Duke University.
Caltech
Bachelor of Science (BS), Computer Science
January 1, 2012 – January 1, 2016
Virtualitics
Chief Product Officer
January 1, 2026 – Present
Virtualitics
VP of Product
January 1, 2025 – January 1, 2026
Virtualitics
Head of Product
January 1, 2024 – January 1, 2025
Virtualitics
Co-Head of AI
August 1, 2018 – March 1, 2024
Virtualitics
Senior Machine Learning Engineer
September 1, 2017 – August 1, 2018
Echo360, Inc.
Data Scientist
September 1, 2016 – September 1, 2017
New York, New York
Caltech
Teaching Assistant
January 1, 2016 – June 1, 2016
NodePrime
Data Science and Machine Learning Intern
June 1, 2015 – October 1, 2015
San Francisco Bay Area
Cisco
Software Engineering Intern
April 1, 2014 – September 1, 2014
California Institute of Technology
Summer Undergraduate Research Fellow
June 1, 2013 – January 1, 2014
Pasadena, California
Duke University
Research Intern
May 1, 2011 – February 1, 2012
United States
Cultural Fit Analysis
The candidate's diverse experience across research, engineering, and product leadership roles, particularly within AI/ML domains, suggests adaptability and a broad technical interest. Their progression into product leadership roles indicates a strong business acumen alongside technical skills. However, the target role of 'Data Analyst' is a significant shift from their recent leadership positions, which might indicate a potential mismatch in career trajectory or expectations. The lack of detailed project descriptions makes it difficult to fully assess alignment with a pure data analyst role.
Soft Skills & Operational Fit
The candidate's career progression from Senior Machine Learning Engineer to Chief Product Officer at Virtualitics indicates strong leadership, product management, and strategic thinking abilities. Their teaching assistant role also suggests strong communication and mentorship skills. However, the provided data does not include specific psychometric test results to directly assess work attitude, stress handling, or team collaboration.