Summary
Gabriel Paz is a Senior Data Scientist and Machine Learning Engineer based in Rio Grande do Sul, Brazil, with four years of professional experience building production-ready AI solutions. He has driven end-to-end projects at HP and ADP Brazil Labs, ranging from LLM-powered assistants and RAG pipelines to edge inference servers, reinforcement learning robots, and computer vision systems. Comfortable across cloud (AWS, Databricks), containerized distributed training (Docker, Kubernetes, Kubeflow), and low-level C++/FFmpeg deployments, he blends research-driven methods with pragmatic engineering. Notably, he has applied GANs for color correction and designed dynamic camera and lighting systems for real-time applications—work that bridges signal processing and modern deep learning. His background in embedded and systems research gives him an uncommon fluency in both hardware-constrained inference and scalable conversational AI.
4 years of coding experience
7 years of employment as a software developer
Bacharelor's Degree Computer Engineering, Bacharelor's Degree Computer Engineering at Universidade de Santa Cruz do Sul
Bachelor's Degree in Computer Engineering, Bachelor's Degree in Computer Engineering at Pontifícia Universidade Católica do Rio Grande do Sul
Portuguese, English