Aelius Infotech Pvt. Ltd.

We are a team of creative, hard-working and self-motivated application developers. Summary • Good hardware programming, debugging and real-world problem-solving skills. • Working experience on different microcontrollers (32-bit ARM, 8-bit) and SoCs. • Interfaced different sensors and actuators with microcontrollers using UART, MQTT, I2C, SPI, RS485 (Modbus), Bluetooth, GSM etc. • Implemented Wi-Fi mesh sensor network for predictive maintenance. • GITHUB experience to manage different versions of the project. • Python based GUI to interact with microcontrollers. • Implemented DSP algorithms (FFT, Filtering etc.) on microcontrollers for real time applications. • Have basic knowledge of Robot operating system (RoS). • Worked on biomedical signals such as EMG, EEG and ECG for different applications. • Worked on AI/ML based project using Python and MATLAB. Skills • Programming Languages o C, Embedded C, C++, Python, Micro-Python o Linux System Programming, Network Programming, Shell Scripting o MATLAB (DSP, Control System, AI/ML, Biomedical), SIMULINK • Hardware Platforms o ESP32, ESP8266, nRF52840, Raspberry Pi o ARM (PIC32MZ2048EFM), Atmega (256, 16, 8), 8051 • Software Tools o Python: Django, SCAPY, ESP-IDF & ESP-MDF for ESP32/8266, nRF SDK 2.x for nRF52840 o RoS (basic) o KEIL, Atmel Studio, VSCODE, MPLAB (Harmony code configurator) o Proteus, KiKad List of some of the projects is as follows: • Django based local server application to communicate with Mobile application and other packet detection program running (Snort) on Raspberry Pi. o Technologies Used: Python, Django, SNORT, AWS • Real time sensor data logger system using ESP32 and Raspberry Pi. o Technologies Used: Python, Django, ESP32, AWS • Micro-Python program for ESP32 to display different patterns on LED panel with BLE, OTA functionalities. o Technologies Used: Mirco-Python, ESP32, WS2812B LED • Wi-Fi mesh using ESP32 and Python GUI on Raspberry Pi for vibration data analysis and predictive maintenance. This work was done for CNHi. o Technologies Used: Embedded C, Python, ESP32, UART • Spectrum analyzer GUI using Python for food quality classification on RPi-zeroW. o Technologies Used: Python • Real time FFT analyzer for vibration analysis using ESP32 and Python GUI on RPi for CNHi. o Technologies Used: Python, Embedded C, ESP32, MQTT • Web-GUI on local server running on Raspberry Pi to modify the RGB intensities according the sun temperature profile during the whole day. o Technologies Used: Python, HTTP services • Prototype of home automation system using IoT. o Technologies Used: Python, Django, Arduino, Atmega328, AWS • IoT based weather logger system. o Technologies Used: Arduino, Atmega328, Wi-Fi Shield, AWS IoT Core Keywords – Arduino, ESP32, ESP8266, Raspberry Pi, AWS IOT, python, Django, scapy, machine learning, robotics, micro-python, Java Script, Node JS