Abdul Azeez

Background

About Abdul Azeez

Hey there, I’m Azeez, a Computer Vision Engineer with 3 years of experience in the automotive industry, specializing in Deep Learning and Python automation. I started my journey building and deploying image classification systems and now focus on object detection to design advanced perception pipelines for automotive technologies. I’m passionate about crafting solutions that bring AI closer to real-world applications — from image processing and classical CV to deep neural networks and model optimization. I’ve contributed to multiple R&D projects, delivering vision systems that integrate seamlessly into automotive technologies. Core strengths: • Deep Learning frameworks: Hands-on with PyTorch and TensorFlow for developing and deploying CV models. • Computer Vision tasks: Strong foundation in classification, currently advancing into object detection & segmentation using YOLO, DETR, Faster R-CNN. • Model optimization: Experienced in quantization, pruning, ONNX, TensorRT to achieve real-time and edge deployment. • Python automation: Building automated pipelines to streamline workflows, reduce errors, and enhance efficiency. Impact so far: Evolved from classification pipelines to object detection, driving improvements in accuracy, robustness, and integration of intelligent perception systems in dynamic automotive environments. Why connect with me? I combine hands-on expertise with a research-driven mindset and the adaptability to take on emerging challenges. Always curious, always learning — I’m eager to collaborate on projects that push the boundaries of vision systems and bring next-gen AI to life. Mail: helloworldlizard@gmail.com #DeepLearning #ComputerVision #Python #ObjectDetection #R&D