I am a Machine Learning & Computer Vision Engineer with hands-on experience building detection and analysis pipelines for technical drawings, signage, and structured visual patterns, including template matching, YOLO-based detectors, and classical CV methods. I enjoy turning noisy, real-world image data into reliable AI features and collaborating with cross-functional teams to deploy production-ready computer vision systems.
I am a strong Python developer proficient with OpenCV, scikit-image, and PyTorch, designing end-to-end ML pipelines—from dataset preparation and model training to testing, deployment on edge devices (e.g., NVIDIA Jetson), and cloud orchestration. I am passionate about applying AI to real-world challenges, focusing on reliability, scalability, and performance.
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