João Davim
Data Science Specialist II
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolJoão Davim is a Data Science Specialist II based in Rio de Janeiro with 9 years of software and machine learning experience and 5+ years focused on MLOps, data engineering, and computer vision. He has a proven record at Serasa Experian building scalable model-serving APIs (FastAPI, PyTorch, ONNX, Kubernetes) and designing cloud data pipelines on Oracle Cloud for identity and fraud systems. He led the development of a computer vision labeling platform and earlier built his company’s first Liveness model, demonstrating both product-minded engineering and hands-on ML research. Comfortable across the stack—from Angular/.NET front ends to backend ETL, queues, and autonomous DBs—he blends operational rigor with rapid prototyping. Notably, he transitioned internal tooling into production-grade services that support real-time verification at scale, reflecting a knack for turning experimental models into reliable infrastructure.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer and Information Engineering, 7.9, Bachelor's degree, Computer and Information Engineering, 7.9 at Universidade Federal do Rio de Janeiro
Portuguese, English
Stackoverflow
425reputation
10kreached
24answers
4questions
Github Skills (81)
annotations10
datasets10
label-studio10
chrome-extension10
parsing10
labeling9
validation9
computer-vision9
json-schema9
python9
image-classification9
text-annotation9
keras9
data-labeling9
image-annotation9
Programming languages (7)
Github contributions (5)
jvdavim/qmk_firmware
Sep 2022 - Oct 2024
Open-source keyboard firmware for Atmel AVR and Arm USB families
Contributions:5 pushes, 1 branch in 2 years 1 month
firmwareavratmelusbatmel-avr
jvdavim/universal-data-tool
Oct 2020 - Feb 2021
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Contributions:11 pushes in 4 months
data-analysispythonweb-interfacedata-sciencedeep-learning
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