
Gabriel Goulart
@gabrielgoulart
I build production ML, analytics, and LLM systems that drive measurable product and business growth.
What I'm looking for
I've built production ML and analytics systems across marketplaces, commerce, logistics, sports technology, and quantitative trading. At Whop, I architected the data and analytics stack through 12x GMV growth and 15x growth in daily user minutes.
At Yalo, I led development of Latin America's first LLM-based autonomous sales assistant and increased average ticket size by 40% through recommendation experimentation. At Foxtrot, my productized ETA models contributed an estimated 15% ARR growth and powered more than 1 million delivery notifications each month.
I'm now building RavenGraph's live systematic trading stack on Hyperliquid, spanning signal generation, risk, execution, and production ML research. My work combines rigorous experimentation, data infrastructure, model reliability, and applied AI systems.
Experience
Work history, roles, and key accomplishments
Co-Founder & Head of Data
RavenGraph
Sep 2025 - Present (1 year)
Built and operated a live systematic trading book on Hyperliquid end to end, including signal generation, risk, execution, and sub-account architecture. Owned the research-to-production stack with walk-forward ensembles and containerized deployment on GCP.
Architected the end-to-end data and analytics stack through 12x GMV growth and 15x growth in daily user minutes. Designed and built the data warehouse on GCP and the company's experimentation engine on Statsig.
Senior Machine Learning Engineer
Yalo Inc
Mar 2022 - Apr 2024 (2 years 1 month)
Led development of Latin America's first LLM-based autonomous sales assistant, integrated with WhatsApp and Meta APIs. Owned recommendation algorithm experimentation, increasing average ticket size by 40%.
Lead Data Scientist
Foxtrot Systems
Dec 2020 - Mar 2022 (1 year 3 months)
Developed and scaled ETA-as-a-Product, an ML model estimating delivery windows with 90% confidence, adopted across three continents. Grew company ARR by an estimated 15% through productized ETA models.
Data Scientist
Joga Sports Tech
Dec 2016 - Dec 2020 (4 years)
Built neural networks and Kalman filters to improve GPS accuracy on low-frequency consumer devices. Developed a performance analytics stack deriving soccer metrics from wearable sensor data.
Education
Degrees, certifications, and relevant coursework
Federal University of Santa Catarina (UFSC)
Engineering, Control & Automation Engineering
Completed Control & Automation Engineering degree in May 2018.
Cornell University
Exchange Program, Data Science
Participated in a Data Science Exchange Program in May 2016.
Availability
Location
Authorized to work in
Salary expectations
Skills
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