Mauro Small
Agentic AI Solutions Engineer at ChapsVision
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolMauro Small is an Agentic AI Solutions Engineer based in Montreal with eight years of experience building production ML and NLP systems. He specializes in agentic systems, retrieval-augmented generation architectures, and turning research-grade models into reliable business tooling across enterprises. His background spans hands-on ML engineering at Scale AI and Cerence—where he trained models that serve hundreds of millions of cars and mentored a team of 13 NLU developers—through to building company-wide AI capabilities at Broccolini. Mauro combines a mechanical engineering foundation from Virginia Tech with strong software and DevOps skills (Docker, CI/CD, Jenkins) to bridge model development and scalable deployment. Notably, he has deep experience evaluating LLM code generation and automating test suites for large-scale agent validation, reflecting a practical focus on model robustness in production. He brings a pragmatic, data-centric approach to solving real business problems with AI while mentoring teams to adopt reproducible ML practices.
8 years of coding experience
13 years of employment as a software developer
Master of Science Mechanical Engineering, Master of Science Mechanical Engineering at Virginia Tech
English, French, Spanish
Github Skills (29)
react8
trello8
webapp8
web-application8
git7
ux-design7
javascript7
portal7
medium7
statistics7
typescript7
statsmodels7
python7
gpu6
machine-learning6
Programming languages (5)
Github contributions (5)
mlsmall/NLP-Sentiment-Analysis-of-Amazon-Reviews
Dec 2019 - Apr 2022
Contributions:22 commits, 20 pushes, 1 branch in 2 years 3 months
mlsmall/NLP-Multi-Labeled-Text-Classification
Dec 2018 - Jan 2020
Contributions:8 commits, 7 pushes, 1 branch in 1 year 1 month
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