Emanuel Huber
Chief Technology Officer at F2IT
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolEmanuel Huber is a CTO and AI/ML practitioner with 10 years of experience building production-ready computer vision and NLP systems from Brazil. He holds a master's in Artificial Intelligence from Universidade de São Paulo and has driven projects that pushed state-of-the-art Portuguese NLP (a BERTtimbau-based POS tagger) and accessibility-focused CV (lip segmentation and virtual lipstick for visually impaired users). Emanuel combines hands-on model development in PyTorch, Hugging Face and MLFlow with MLOps and deployment experience across Azure and embedded hardware, delivering real-time inference and 90%+ performance metrics in multiple projects. He has led teams through agile delivery, data annotation pipelines and CI automation that materially improved productivity and model quality. Now as CTO at F2IT, he blends strategic leadership with deep technical execution, shipping ML solutions that prioritize user impact. An uncommon strength is his track record of turning research-grade models into usable, accessible products for underserved populations.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Facens | Faculdade de Engenharia de SorocabaUniversity of São Paulo
Portuguese, English
Stackoverflow
153reputation
12kreached
12answers
4questions
Github Skills (200)
python10
deep-learning10
nlp10
tensorflow10
quora10
machine-learning10
mlflow9
ml9
kalman-filter9
machine-learning-algorithms9
ai9
neural-network9
udpipe9
transformer9
conll9
Programming languages (13)
Github contributions (5)
huberemanuel/anomaly-gan-av
Dec 2018 - May 2021
Real-time anomaly detection using video data from autonomous vehicle
Contributions:5 PRs, 8 pushes, 7 branches in 2 years 5 months
anomalyautonomousanomaly-detectionobject-detectioncomputer-vision
Lince-Facens/mobilelab_control_system
Sep 2019 - Sep 2020
Software for reading actuation commands from the AI system and translate it to electrical signals to control the vehicle actuators
Contributions:1 review, 11 PRs, 28 pushes in 1 year
electricaltranslatevehicleactuatorsai-system
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