Muhammad Ali Raza

I’m a Full-Stack & AI Engineer focused on Generative AI, computer vision, and data automation. In my recent intern role, I built an end-to-end pipeline that ingests live RTSP/MJPEG feeds, detects people (YOLO26/YOLO11 segmentation), tracks them (DeepSort), and identifies them against a face database (InsightFace 512-d embeddings with vectorized cosine matching), all driven by a multithreaded engine designed to scale to multiple cameras.

I also engineered key model capabilities—fine-tuning a custom YOLO dress-code detector (15 clothing categories) and adding a MiniFASNet anti-spoofing (presentation-attack-detection) module in TorchScript—then supported reliable cross-camera identity hand-off using Redis TTL keys and automated violation logging. Beyond CV, I built the Django REST backend (PostgreSQL, Redis cache, role-based access, email/push notifications) and a React 19 + Tailwind operator dashboard with live feeds, analytics, and PDF reports, and I’ve previously shipped cross-platform mobile apps with Flutter and Dart.