I will design edge ai models and deploy tinyml firmware on mcu


Über diesen Service
BUDGET TIGHT? MESSAGE ME FIRST! I offer flexible custom discounts starting as low as $20$30 depending on your project size!
Run powerful Machine Learning models directly on your microcontrollers without relying on the cloud!
As an electrical engineer specializing in embedded AI, I will design, train, and deploy fully optimized TinyML models using Edge Impulse and Roboflow.
What I offer:
- Dataset Engineering: Data prep, cleaning, and custom labeling.
- Model Training: Object detection (YOLOv5/v8/v11), image classification, and audio keyword spotting.
- TinyML Optimization: Model quantization ($int8$) to perfectly fit your hardwares RAM/Flash limits.
- Firmware Export: Clean, production-ready C++ deployment libraries (Arduino, ESP-IDF, STM32Cube).
Supported Hardware: ESP32 / ESP32-S3, STM32, Arduino, and Seeed Studio.
- Please drop me a quick message to discuss your project requirements before placing an order!
Lerne M.Khuzaifa kennen
Khuzaifa123
- AusPakistan
- Mitglied seitApr. 2026
- ⌀ Antwortzeit1 Stunde
Sprachen
Paschtunische Sprache, Urdu, Englisch
Mein 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.

