Summary
Arif Elahi is a founder and machine learning computer vision engineer with 8 years of hands-on experience building real-time AI systems that turn passive cameras into proactive safety tools. He founded SCAREJ to deliver real-time threat detection on existing CCTV, and has led product vision, architecture, and pilot deployments for safety-critical surveillance. His background spans 3D depth estimation, multi-object tracking, CUDA-accelerated inference, and embedded-to-cloud deployment—work that includes race-track segmentation for positional analytics and live-camera tracking used in broadcast sports. Arif combines academic rigor from an MEng at The University of Manchester with applied research that improved fungal-spore classification accuracy from 61% to 93%, demonstrating a knack for turning niche datasets into robust production models. Based in England, he blends startup leadership with deep technical execution across PyTorch/TensorRT, C++ and distributed GPU systems, often optimizing for low-latency, real-world constraints.
9 years of coding experience
6 years of employment as a software developer
Master of Engineering - MEng, Electrical and Electronics Engineering, Master of Engineering - MEng, Electrical and Electronics Engineering at The University of Manchester
English, Urdu