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VP Product & Technology at Maergo
I am an engineer with 13 years of experience leading teams in the design, development, and operation of data intensive and AI-enabled software. I'm a positive outlier for passion and curiosity in my work, and these qualities have led me to develop a unique combination of breadth and depth of technical experience, spanning full-stack software development, data engineering, database management, ML engineering, and pure data science. By day, I run the Product and Engineering teams at Maergo. Outside of my work in logistics and supply chain technologies, I'm currently particularly interested in the applications of generative language, robotics, and 3-dimensional simulation models.
UC San Diego
Master’s Degree, Computational Science, Mathematics, & Engineering
January 1, 2015 – January 1, 2017
University of Miami
Bachelor’s Degree, Dual Degrees in Physics and Neuroscience
January 1, 2008 – January 1, 2012
Maergo
Vice President - Product and Technology
March 1, 2023 – Present
Austin, Texas, United States
Maergo
Chief Scientist
March 1, 2022 – March 1, 2023
Austin, Texas, United States
Sam's Club
ML Architect - Head of MLOps
October 1, 2021 – March 1, 2022
Austin, Texas, United States · Remote
Walmart Global Tech
Principal Software Engineer (Machine Learning)
December 1, 2020 – October 1, 2021
Walmart Global Tech
Staff Software Engineer (Machine Learning)
January 1, 2018 – December 1, 2020
Walmart Global Tech
Senior Software Engineer (Machine Learning)
October 1, 2017 – January 1, 2018
Entefy
Machine Learning and Artificial Intelligence Engineer
June 1, 2016 – September 1, 2017
San Francisco Bay Area
Prepworks E-Learning
Senior Engineer
May 1, 2012 – February 1, 2016
Miami/Fort Lauderdale Area
Cultural Fit Analysis
The candidate has a diverse background spanning educational technology, enterprise retail (Walmart/Sam's Club), and product-focused startups (Maergo, Entefy). This breadth indicates adaptability to different organizational cultures. However, the lack of specific project details makes it difficult to assess alignment with a specific company culture beyond general technical leadership.
Soft Skills & Operational Fit
The candidate's career progression to VP Product and Technology and Chief Scientist roles suggests strong leadership, strategic thinking, and problem-solving abilities. The lack of detailed project descriptions prevents a deeper assessment of specific operational fit and collaboration styles.