Mujahid A.

I build, optimize, and harden embedded vision systems that don't crash in production. With over 20 years of hardware-software integration experience, I specialize in moving complex computer vision models and multi-camera streaming pipelines out of cloud simulations and onto low-latency physical ARM hardware (RK3588, NVIDIA Jetson, Orange Pi, Raspberry Pi). If your current video pipeline suffers from memory leaks, frame drops, network jitter, or hardware acceleration bottlenecks, I engineer the production-grade fix. ⚡ AREAS OF EXPERTISE: • Low-Latency Streaming: Custom WebRTC/WHEP, RTSP, SRT, HLS, and MediaMTX integration. • Multimedia Frameworks: Deep-level GStreamer architecture, hardware-accelerated H.264/H.265 encoding, and custom FFmpeg blocks. • Edge AI & Vision: YOLO, RKNN, and OpenCV optimization for real-time video analytics. • Hardware Bring-Up & IoT: Linux kernel/device-tree support, ESP32 firmware, and sensor integration. 🚀 PROVEN SOLUTIONS DELIVERED: • Multi-Camera Sports Streaming Platforms: Configured 4-camera dynamic switching and automated deployment setups on Orange Pi hardware. • Edge AI Smart Scopes: Integrated hardware-accelerated YOLO/RKNN object detection running natively on custom SBC rigs. • Full-Stack IoT Control: Connected microcontrollers and custom sensors to secure cloud architectures via MQTT and FastAPI. I bridge the gap between physical camera hardware, low-latency code, and field-ready deployment. Let's connect to make your embedded system robust and scalable.