Joseph Quino
AI Researcher at Instituto do Coração - InCor HCFMUSP
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolJoseph Quino is an AI researcher and machine learning engineer based in São Paulo with nine years of engineering experience and over seven years of Python expertise. He blends research-grade LLM and neural network work with practical MLOps—building CI/CD pipelines, Dockerized deployments, and scalable data preprocessing using tools like MLflow, DVC, Prefect, Dask, and TensorFlow. As CTO and co-founder at Natek and researcher at InCor HCFMUSP, he bridges embedded systems and cloud-native AI, having moved models into Android apps and production APIs with FastAPI. His background in embedded Linux and electrical engineering gives him a systems-first perspective that informs robust, production-ready ML solutions. Joseph is active in applied research and open-source culture, and his early skepticism about Python has turned into a pragmatic love for the language and its ecosystem.
9 years of coding experience
5 years of employment as a software developer
Ingeniería, Electrical and Electronics Engineering, Ingeniería, Electrical and Electronics Engineering at Universidad de Ingeniería & Tecnología - UTECMaster of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at USP - Universidade de São Paulo
Portuguese, English, Spanish
Github Skills (36)
lifecycle9
read-write9
mlflow9
apache-spark9
machine-learning9
model-management9
dvc9
incremental-learning9
scraper9
ai9
react8
python8
selenium7
chrome7
ml7
Programming languages (7)
Github contributions (5)
joseph-pq/dotfiles
Apr 2021 - Jan 2023
Contributions:228 commits, 201 pushes, 2 tags in 1 year 9 months
joseph-pq/joseph-pq
Jul 2020 - Oct 2024
Contributions:11 pushes, 1 branch in 4 years 3 months
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