Embedded and Edge AI Engineer

I am an Embedded and Edge AI Engineer with 4.5 years of experience developing firmware, Linux-based applications, and industrial automation solutions. My core strengths include C, C++, Python, embedded systems, hardware interfacing, and real-time data processing.

I have worked extensively with microcontrollers, ESP32 platforms, communication protocols, and embedded Linux environments. I build reliable device software that integrates sensors, cameras, PLCs, GPIO devices, and industrial peripherals.

In my recent role, I developed and deployed edge AI solutions for industrial automation. I integrated camera and PLC systems, and optimized AI inference workloads for real-time performance.

I have hands-on experience with NVIDIA Jetson platforms, Raspberry Pi, Axelera, and MemryX devices. My work includes system bring-up, hardware integration, device debugging, performance tuning, and deployment of computer vision applications.

I am experienced in computer vision and Edge AI technologies including OpenCV, YOLO, ONNX, GigE Vision, USB3 Vision, and camera streaming. I enjoy solving practical hardware-software integration challenges and building robust connected embedded products.

I have also developed projects involving ESP32-based industrial gateways, steel inspection automation, drive recorder monitoring, and GPS-based container tracking. I am focused on delivering dependable embedded solutions for industrial and intelligent edge systems.