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I will build your ai model that can run on esp32 and stm32
M.Khuzaifa
About this gig
I will design and deploy optimized TinyML and Edge AI models on ESP32 and STM32 microcontrollers. I specialize in building efficient, real-time AI solutions with clean and production-ready firmware.
- Edge AI and TinyML development
- Model optimization for low-power devices
- Deployment on ESP32, STM32, and Arduino
- Clean, reliable, and efficient embedded code
Please message me before placing an order to discuss your project requirements.
Get to know M.Khuzaifa
M.Khuzaifa
Electrical Engineer
- FromPakistan
- Member sinceApr 2026
- Last delivery3 months
Languages
Pashto, Urdu, English
Electrical Engineering student at PIEAS with expertise in PCB design, embedded systems, and ESP32-based projects. Passionate about building practical solutions and delivering high-quality, reliable work.
My Portfolio
FAQ
Do I need to provide the dataset?
Ideally, yes. But if you only have raw data or need help setting up a collection pipeline for your sensors, just message me first!
What format will the final model be delivered in?
I will deliver it as an optimized C++ deployment library, an Arduino library zip file, or standard .tflite / .onnx model files.
Can you help integrate the model into my hardware code?
Yes! I can provide the firmware framework needed to initialize the Edge Impulse model and run inference on your target microcontroller.
