Eugenio Cabral
Founder at Layline Ventures
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolEugenio Cabral is a founder and AI-focused engineering leader with 11 years of experience building data-driven products and teams across fintech, logistics, and enterprise services from São Paulo. He has a track record of founding and scaling AI and automation initiatives—launching dLocal’s first AI engineering team and designing an AI-powered automation workflow platform that became a core operational asset. Equally comfortable hands-on, he contributed to core multi-objective optimization code in the popular jMetal framework and has deep experience across data engineering, ML lifecycle, and cloud-native architectures. He combines startup grit—building agentic product-led portfolios and document-to-ledger automation—with enterprise delivery experience at Capgemini where he grew a generative AI practice rapidly. Educated at USP (MSc AI) with international study in Adelaide, he blends research-grade ML knowledge with pragmatic product execution. A curious problem-solver, he describes himself as “randomly walking in a dense random environment,” reflecting a taste for exploratory approaches to complex systems.
11 years of coding experience
6 years of employment as a software developer
Exchange Program Computer Science, Exchange Program Computer Science at University of AdelaideMaster of Science (MSc) Computer Science Artificial Intelligence, Master of Science (MSc) Computer Science Artificial Intelligence at USP - Universidade de São PauloBachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Universidade Federal de Alfenas
English, Portuguese, Spanish
Github Skills (3)
metaheuristics10
javas10
java10
Programming languages (5)
Github contributions (5)
jMetal/jMetal
Oct 2015 - Oct 2015
jMetal: a framework for multi-objective optimization with metaheuristics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 2 PRs, 2 comments in 2 days
Contributions summary:Eugenio contributed to the initialization of variables within several solution classes in the jMetal framework. They introduced initialization methods for variables in various solution implementations, including integer, double, and binary solutions. The primary focus was on initializing variable values based on their respective bounds or bit representations. This work highlights the user's involvement in core solution class functionality within the multi-objective optimization framework.
optimizationmultiobjective-optimizationmulti-objective-optimizationmetaheuristicsjava
eug/awesome-opengl
Jun 2015 - Sep 2022
A curated list of awesome OpenGL libraries, debuggers and resources.
Contributions:62 commits, 21 PRs, 62 pushes in 7 years 3 months
video-tutorialgraphics-pipelinedebuggerscomputer-graphicslists
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