I will deploy edge ai and computer vision models on embedded devices

S
samuelsteve2704
S
samuelsteve2704
Steve
deploy edge ai and computer vision models on embedded devices
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deploy edge ai and computer vision models on embedded devices

About this gig

Bring the power of Artificial Intelligence directly onto your edge hardware! I specialize in optimizing and deploying lightweight Deep Learning and Computer Vision models for real-time inference on edge devices.


What I offer:

Model optimization (Quantization, Pruning, ONNX, TensorRT, TFLite conversion).

Real-time computer vision applications (YOLO object detection, tracking, segmentation).

Platform deployment on NVIDIA Jetson (Nano, Xavier, Orin), Raspberry Pi 4/5, and Google Coral.

Python and C++ pipeline integration.


Maximize your hardwares frame rate and accuracy. Reach out today to discuss your model requirements!


  • AI engine

    • Mistral AI
    • DeepSeek
    • Meta Llama
    • Hugging Face
    • Ollama

  • Tools & frameworks

    • LangChain
    • LangGraph
    • LlamaIndex
    • DSPy

  • AI solution type

    • AI agent
    • AI workflow
    • Internal AI tool

  • Purpose

    • Research
    • Workflow automation
    • Data analysis
    • Internal operations
    • Healthcare

Get to know Steve

Steve

Edge AI and Embedded Hardware Engineer

  • FromUnited States
  • Member sinceSep 2026
  • Avg. response time1 day

  • Languages

    English
Welcome! I specialize in full-stack Embedded Systems and Edge AI Hardware Development, connecting physical hardware with intelligent software. I design custom PCBs, optimize microcontroller firmware, and deploy lightweight AI/ML models directly on edge devices. Since every Edge AI project has unique hardware and software requirements, please message me before ordering. Advanced neural networks, processor-specific development, and cloud-to-edge deployment can be scoped as a custom project.

Other AI Development Services I Offer

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