Nidhi S.

I am a creative, self-motivated, and hard-working application developer and innovator with a passion for building robust, real-world solutions that bridge hardware and software. With hands-on experience in a wide range of embedded platforms and programming tools, I offer end-to-end development—from hardware interface to web-based dashboards and AI-driven analytics. Whether you're building a smart IoT device, data logger, or predictive maintenance system, I can help bring your idea to life. Key Skills & Expertise 1. Embedded Programming: C, Embedded C, C++, MicroPython 2. Scripting & System Programming: Python, Shell, Linux system & network programming 3. Machine Learning & Signal Processing: Python (SVM, FFT), MATLAB (DSP, AI/ML, Biomedical) 4. IoT Protocols: MQTT, UART, I2C, SPI, RS485/Modbus, BLE, GSM 5. Web Development: Django (Python), HTTP services, AWS IoT Core 6. UI Development: Python GUI for microcontroller & sensor interfacing 7. Version Control: GIT, GitHub 8. Tools & Frameworks: ESP-IDF, ESP-MDF, nRF SDK, Keil, MPLAB, Proteus, KiCad, ROS (basic) Available Hardware with Me 1. Raspberry Pi 4, CM4, 3 2. STM32 (Nucleo, Discovery Boards) 3. ESP32, ESP32-CAM, ESP32-S2 4. Arduino Nano, Mega, UNO 5. Atmega16, AVR boards 6. Multiple sensor, actuator & peripheral boards Highlighted Projects 1. Wi-Fi Mesh Sensor Network for Predictive Maintenance (ESP32 + Python GUI on Raspberry Pi) 2. Django-based Server on Raspberry Pi interacting with mobile apps and SNORT packet analysis 3. MicroPython LED Control with BLE and OTA for ESP32 4. Real-Time Vibration & FFT Analyzer for CNHi using ESP32 and Python 5. Food Quality Spectrum Analyzer (RPi-ZeroW + Python GUI) 6. IoT Home Automation System (Arduino + Django + AWS) 7. 3-Phase Current Analyzer for Indian Navy (Atmega328 + Python) 8. Drone Detection Using Audio & SVM (Python-based signal classification) 9. EMG Signal-Based Motor Control with Wavelet Feature Extraction 10. GA-based Investment Portfolio Optimizer in MATLAB Looking For: 1. Embedded systems development 2. IoT solutions and sensor interfacing 3. Python/Django applications for embedded and industrial systems 4. Machine learning/data analysis on edge devices 5. Signal processing and biomedical instrumentation 6. Full-cycle prototyping: from firmware to cloud to GUI Keywords: Arduino, ESP32, ESP8266, Raspberry Pi, AWS IoT, Python, Django, Scapy, Machine Learning, Signal Processing, Robotics, MicroPython, JavaScript, Node.js, MQTT, Embedded C, STM32, MATLAB, FFT, GUI