Summary
Misael Rezende is a Jr. Computer Vision Analyst with 8 years of hands-on experience building end-to-end ML systems, from large-scale dataset curation to deployment and production monitoring. He has driven cloud-based CV components at Maxtrack, improving model robustness through targeted data collection and augmentation while bringing production readiness via ONNX, TensorRT and TF-Serving optimizations. Comfortable across PyTorch, TensorFlow, OpenCV and infrastructure tools like Docker, DVC, MLflow and AWS, he owns reproducibility through experiment and artifact tracking. His background includes creating a 130k+ image fine-grained dataset and research on efficient networks and PTZ camera self-calibration, highlighting a blend of applied research and production focus. Based in Minas Gerais, Brazil, he combines research-driven curiosity with practical engineering to push models from prototype to reliable service.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Information Systems, Bachelor's degree, Information Systems at Universidade Federal de Minas Gerais
English, Portuguese, French