Summary
Caio Mizerkowski is a Data Scientist with a decade of professional experience rooted in an Electrical Engineering degree from UFPR and three years of undergraduate research on neural-network-based system identification. He designs and deploys ML/CV solutions for traffic and Free Flow vehicle detection, building end-to-end pipelines from dataset creation and on-prem GPU training to ONNX export and robust multithreaded inference across RTSP feeds. Comfortable across the stack, he pairs PyTorch, OpenCV and tracking/YOLO models with production tooling like Redis, ffmpeg/GStreamer and systemd to keep high-throughput systems stable in the field. Previously he worked as a Data Engineer on Azure pipelines and Power BI dashboards, where he also led interns and automated client reporting. Caio’s background in Volterra-series-style modeling and experimental RF predistortion research gives him a strong analytical bend that informs practical, field-ready ML solutions.
9 years of coding experience
5 years of employment as a software developer
Bachelor, Electrical and Electronics Engineering, Bachelor, Electrical and Electronics Engineering at Federal University of Paraná
Portuguese, English