Summary
Khurram Hashmi is an AI research engineer with a decade of experience building computer vision and multimodal systems, currently pursuing a Master’s in Artificial Intelligence at TU Kaiserslautern while working on video and multimodal foundation models for edge devices. He has led CV/ML efforts across industry and research—designing surgical video foundation models, deploying real-time multi-camera edge inference, and creating vision-guided navigation pipelines for autonomous assembly robots. At DFKI he combined 3D perception, fine-tuned LLMs for open-world recognition, and delivered anomaly-detection solutions for European SMEs, often improving real-time responsiveness and cutting manual inspection time. His background spans production-grade middleware and enterprise systems to research prototyping, giving him a rare ability to move models from lab to constrained-edge deployments. He mentors masters and early PhD students and has a track record of supervising projects that integrate perception, robotics, and language for practical automation. Based in the Greater Freiburg area, he pairs strong academic credentials (PhD work in computer vision) with hands-on delivery for healthcare and industrial applications.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Vision, Doctor of Philosophy - PhD Computer Vision at RPTU Kaiserslautern-Landau
Bachelor's degree Computer Science, Bachelor's degree Computer Science at National University of Computer and Emerging Sciences
English, German, Urdu