I will develop nvidia jetson raspberry pi and edge vision processing solutions

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bloshad
B
bloshad
Bloshad

About this gig

I develop custom embedded vision and edge-processing solutions for NVIDIA Jetson, Raspberry Pi, and camera-based hardware systems.


I can build applications that process camera data directly on edge devices, reducing dependence on cloud processing and enabling real-time responses in environments where low latency and reliable local processing are important.


Typical projects can include object detection, object tracking, image analysis, camera monitoring, measurement, classification, multi-camera processing, and real-time inference.


I can work with USB cameras, CSI cameras, IP cameras, RTSP streams, and other supported camera interfaces. Depending on the hardware and requirements, I can integrate OpenCV, ONNX Runtime, TensorRT, CUDA, GStreamer, and Python-based processing pipelines.


I can also optimize existing models and applications for embedded hardware by improving inference speed, memory usage, camera pipelines, and overall processing efficiency.


Please send your board model, camera specifications, operating system, model/framework, and required vision task before ordering so I can recommend the appropriate architecture.

Get to know Bloshad

Bloshad

Machine Learning and Embedded AI Engineer

  • FromCanada
  • Member sinceApr 2026
  • Avg. response time2 hours
  • Languages

    English, Spanish, French
I am a Machine Learning and Embedded AI Engineer specializing in Edge AI, Computer Vision, and Intelligent Surveillance Systems. I develop high-performance AI solutions that run efficiently on NVIDIA Jetson, Raspberry Pi, IoT devices, and embedded platforms for real-time analytics and automation.

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