I will deploy tinyml edge ai models microcontrollers

Run AI Locally on Your Microcontroller Zero Cloud Costs, Zero Latency!

Cloud-based AI is powerful, but what if your IoT device needs to be offline, battery-powered, ultra-secure, or lightning-fast? That is where TinyML and Edge AI come in.

With over 5 years of professional embedded firmware engineering experience, I don't just use basic drag-and-drop AI wrappers. I write robust, highly optimized C/C++ firmware that seamlessly integrates machine learning models directly onto your low-power hardware.

What I Can Build For You:

Sensor Data Classification (IMU, Audio, Vibration, Current, Vision)

Gesture Recognition & Motion Tracking

Voice Keyword Spotting (Offline Voice Control)

Anomaly Detection & Predictive Maintenance

Model Conversion & Quantization (TensorFlow Lite Micro, Edge Impulse)

Power, RAM, and Flash Memory Optimization

Supported Hardware:

ESP32 / ESP32-S3 / ESP32-CAM

STM32 Family

Arduino (Nano 33 BLE Sense, Portenta)

Raspberry Pi Pico (RP2040)

Nordic nRF52 Series