π― Embedded Systems Engineer | Edge AI | IoT | Robotics Enthusiast
I build embedded systems that bridge hardware, software, and intelligence β from real-time MCU firmware to machine learning at the edge.
Currently, Iβm working on robotics and PLC-based control systems at Neuro42, and developing my expertise in RTOS, Embedded Linux, and IoT.
- Languages: C, C++, Embedded C, Python, Bash
- Platforms: STM32 (ARM Cortex-M4), ESP32, Raspberry Pi, Arduino
- Protocols: UART, SPI, I2C, CAN, Modbus, Ethernet, Wi-Fi, Bluetooth
- Tools: STM32CubeIDE, Keil, MATLAB/Simulink, ROS, Git, GDB
- Specialties: RTOS, Embedded Linux, Signal Processing, Edge AI
πΉ Real-Time Sign Language Translator
TensorFlow + MobileNetV2 model on Raspberry Pi with OpenCV + pyttsx3 for speech synthesis.
β Achieved 15% higher reliability on edge devices.
πΉ Line Following Robot (STM32)
Closed-loop PID control with IR sensors, GPIO, timers, and real-time motor control.
πΉ Ball Bounce Game with EMG Sensors
Neural-machine interface demo using EMG signals for real-time game control.
- Advanced FreeRTOS (scheduling, IPC, real-time debugging)
- Embedded Linux (device drivers, Yocto, Buildroot)
- IoT Cloud Integration (AWS IoT, MQTT, OTA updates)
π« Reach Me At:
LinkedIn | βοΈ payushi208@gmail.com