Mansoor Ahmed M.

As an experienced professional, I bring a strong background across three key areas: computer vision, full-stack development, and systems engineering. I specialize in building robust computer vision systems, developing full-stack applications with scalable APIs, and performing system-level programming in Linux environments. My technical expertise spans multiple programming languages, including C, C++, Java, Python, and JavaScript. In the domain of AI and computer vision, I work with tools like OpenCV, TensorFlow, YOLO, PyTorch, and Hugging Face. I have applied these in real-world projects, such as developing Python-based video analysis pipelines. For full-stack development, I have experience with Flask, FastAPI, Firebase, Flutter, SolidJS, and TailwindCSS, enabling me to deliver cohesive and performant systems across the front end and back end. My cloud and DevOps skills include AWS, Cloudflare, GitHub, Git, Docker, and MongoDB. These allow me to build, optimize, and deploy scalable and reliable systems efficiently. This combination of deep specialization and broad technical fluency allows me to approach projects from multiple dimensions, bridging low-level systems work with high-level application development and deployment.