Gabriel Guarisa
Staff II Machine Learning Engineer at Guarisa
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolGabriel Guarisa is a Staff II Machine Learning Engineer with a decade of experience building production-grade ML services and bridging the gap between data science and software engineering. Based in Rio de Janeiro, he has led technical strategy and delivery for enterprise AI at Pier, architecting systems like an autonomous car-inspection agent and an instant claims payment engine that combine real-time inference, fraud detection, and business-rule orchestration. He designed a corporate feature store, low-code decision platform, and MLOps pipelines that scaled isolated experiments into 20+ production services, and he regularly ships high-availability inference APIs in Go, Python and JavaScript. Gabriel pairs strong research roots (MSc in AI) with hands-on systems work—implementing C++/Python libraries, GPU/vision pipelines, and HPC-style optimizations earlier in his career—so he is comfortable from model prototyping to operational monitoring and rollback. He also leads internal GenAI training programs, accelerating adoption across engineering, product and leadership teams.
10 years of coding experience
7 years of employment as a software developer
Master's degree in Computer Science Artificial Intelligence, Master's degree in Computer Science Artificial Intelligence at Federal University of Rio de JaneiroTecnologia da Informação e Comunicação Ciência da Computação, Tecnologia da Informação e Comunicação Ciência da Computação at FAETERJ Petrópolis - Faculdade de Educação Tecnológica do Estado do Rio de Janeiro-Campus Petrópolis
Portuguese, English
Github Skills (38)
pytorch9
yolov59
object-detection9
deep-learning8
coreml8
machine-learning8
bots8
onnx8
ios8
tflite8
yolov47
dialog7
ultralytics7
yolov86
dialogue-systems6
Programming languages (4)
Github contributions (5)
pier-digital/modelib
Feb 2024 - Mar 2025
Contributions:11 releases, 1 review, 8 PRs in 1 year 2 months
gabrielguarisa/gurun
Dec 2021 - Jan 2023
Task automation framework
Contributions:13 releases, 2 PRs, 24 pushes in 1 year
pythonpipelineframeworkautomationtask-automation
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