Gabriel N.

I deploy computer vision models that actually work in production, not just notebooks. As an ML Engineer specializing in Edge AI and Computer Vision, I've spent 2+ years building and deploying real-time inference systems for major retail clients, including surveillance, person detection, facial recognition (ReID), and ALPR pipelines. What I bring to your project: → End-to-end CV pipeline development (data → training → optimization → deployment) → Edge deployment: NVIDIA Jetson, Qualcomm, Raspberry Pi → Model optimization: TensorRT, ONNX, quantization for real-time inference → Production MLOps: Triton Inference Server, Docker, AWS Lambda, CI/CD → YOLO specialist: trained and deployed across different retail locations I also research radar-camera fusion for autonomous vehicles at UFPE, so I can implement state-of-the-art architectures when your project needs cutting-edge solutions. Tech stack: Python, PyTorch, TensorFlow, OpenCV, TensorRT, ONNX, Triton, Docker, AWS, Deepstream Based in Brazil (GMT-3), available for async collaboration with US/EU teams. Let's discuss your CV challenge, I'll tell you honestly if I can help.