Location: Kuala Lumpur, Malaysia Remote: Yes Willing to relocate: Yes (Targeting SF / New York / Global) Technologies: Python, C++, PyTorch, OpenCV, YOLO, Edge AI (NVIDIA Jetson), MLOps (Docker, Kubernetes), AWS, GCP, LLMs (LangChain) Résumé/CV: https://drive.google.com/file/d/1eoJDJnkmxFWkFl8ndJW-wKnDHWQ... Email: ahmontasser507@gmail.com Co-founded and served as CTO for an autonomous drone startup. Personally architected the entire hardware-software integration layer, building a custom Ground Control Station (GCS) and real-time computer vision tracking stack deployed directly onto edge hardware (NVIDIA Jetson). As a core AI Engineer and shareholder at a medical AI startup, I built an end-to-end deep learning pipeline from scratch. Handled the entire data-to-deployment lifecycle: engineered complex signal-processing algorithms to clean raw, high-variance clinical data and optimized custom CNN models in PyTorch for high-stakes diagnostic accuracy. Designed a multithreaded video processing framework that successfully fused algorithmic convolutional dehazing with real-time YOLO object detection, breaking hardware bottlenecks to achieve a production-ready 20 FPS pipeline. I’m a zero-to-one engineer who operates with founder-level speed and zero hand-holding. Seeking Founding Engineer, Applied ML, or Robotics/Perception Infrastructure roles at fast-moving, high-chaos teams where I can own an entire stack from day one.