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Assessing your cultural and operational fit
Artificial Intelligence & Engineer Manager at Quantum Data Technologies
I build and scale AI systems for complex problems, ranging from reinforcement learning in trading and portfolio management to predictive platforms in quantitative finance, to large-scale machine learning operations running on Kubernetes. I enjoy tackling challenging problems, translating research ideas into practical solutions that work at scale in real-world systems. Over the years, I’ve worked across different industries, finance, healthcare (co-founder at Honeycomb), and pet-tech as founder of Woofie / Woofie Life, an AI platform that recommends personalised nutrition for dogs. For me, the common thread isn’t the industry itself but the challenge of engineering AI systems that matter. Outside of work, I’m into art, surfing, boxing, travelling, and spending time with my family (and my dogs).
Universidad Adolfo Ibáñez
Master of Science - MS, Artificial Intelligence
April 1, 2022 – January 1, 2024
Universidad Adolfo Ibáñez
Engineer’s Degree, Civil Engineering
January 1, 2009 – January 1, 2014
San Patricio
High School, Sciences and Mathematics
January 1, 1995 – January 1, 2008
honeycomb
Co-Founder @ Honeycomb
June 1, 2025 – Present
Amsterdam, North Holland, Netherlands · Remote
Quantum Data Technologies
Engineering Manager
February 1, 2021 – Present
Vancouver, British Columbia, Canada · Remote
Science
Team Leader
February 1, 2021 – September 1, 2025
United States · Remote
Woofie
Co-Founder @ Woofie
January 1, 2021 – Present
Chile
Marley Spoon
Senior Data Engineer
October 1, 2020 – February 1, 2021
Berlin, Germany
Metyis
Manager & Senior Data Engineer
August 1, 2018 – October 1, 2020
Amsterdam, North Holland, Netherlands
Intelligens LLC
Head of Artificial Intelligence
July 1, 2016 – July 1, 2018
Chile
Equifax
Data Engineer and BI
March 1, 2015 – July 1, 2016
Santiago, Chile
Pepperstorm Pty Ltd
Thesis Project
June 1, 2014 – July 1, 2015
Greater Melbourne Area
Sonda
IT Consultant in Cloud Lab
July 1, 2013 – December 1, 2014
Chile
Advanced Deployment Scenarios with TensorFlow
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong entrepreneurial spirit and a history of working in dynamic, product-focused environments, including startups. Their diverse experience across different companies and roles (from Data Engineer to Engineering Manager and Co-Founder) suggests adaptability. The target role of ML Engineer aligns well with their core technical skills and recent Master's degree in AI. However, the lack of explicit project details makes it harder to assess specific cultural alignment beyond general technical fit.
Soft Skills & Operational Fit
The candidate's experience as a co-founder and in leadership roles suggests strong initiative, problem-solving, and strategic thinking. Descriptions of leading teams and guiding technical decisions indicate good communication and collaboration skills. The focus on building and scaling products from scratch implies adaptability and a results-oriented approach. However, without specific psychometric test results, a deeper assessment of stress handling and team collaboration is not possible.