Research assistant, phd student

Project 1 – Basic Ventilator System

 Interfacing , testing and development of firmware for I2C communication protocol between SFM4200 Sensirion flow sensor and Atmega2560 based microcontroller for measuring Tidal Volume.
 Development of different models of ventilator system depending on industry requirements and quality assurance of developed products.
 Testing and interfacing Cirrus OS1 oxygen sensor with microcontroller for measurement of oxygen levels of the ventilator
 HMI development for the ventilator to ensure hassle-free interaction with the machine.
 Implementing PID control mechanism with the MCU for effective control of ventilator modes.
 Interfacing NRF24L01 with Arduino for wireless communication among different modules.
 Implementing FreeRTOS based task switching of the ventilator system by reducing interrupt latency.
 Development of differential pressure system using sensors and interfacing it with Arduino Uno, and data processing for measuring airflow rate.
 Testing differential pressure using MPX5100dp pressure sensor for measuring airflow rate and MEMs based AS-21 pressure sensor for measuring static pressure.

Project 2 – IoT campus surveillance system
 Development of LoRaWAN enabled GPS tracking device using NodeMCU, NEO-6M Ublox GPS module and LoRa module for IoT based worker management.
 Test and implementation of communication between two nodes of NodeMCU using LoRa-02 module
 Data visualisation and analysis of live GPS tracking data over cloud.
Project 3 – Smart Trolley
 Testing of UART protocol between Barcode scanner module with ESP32 and NodeMCU
 Responsible for test and implementation of MQTT protocol by the creation of publisher, subscriber nodes and Mosquitto broker using ESP32 with sensors
 Involved in code development for automating the publishing of sensor data over MQTT protocol in Real-time Database of Google Firebase
 Creating technical documentation of test data and procedures involved for system testing and SDLC
 Handling Amazon Web Services (AWS) EC2 instance-based Ubuntu terminal for publishing sensor data from the local computer

R&D Projects
 Multi-sensor fusion-based IoT system for Aquaculture
 Testing and R&D of Augmented Reality based photogrammetry device
 HMI interfacing with microcontroller unit and multi-sensor fusion
 Embedded software development of Smart Dispenser System
 Technical content development for processes, website and product

 Implementing and testing SPI communication protocol between two Texas Instruments MSP430 microcontroller boards establishing master-slave communication and displaying the message through the serial port of slave by connecting with PC.
 Implement embedded software using C, and troubleshooting technical challenges
 Developing, testing and debugging a python-based test script to automate the thermal testing of Raspberry Pi camera in order to comply with the standards of space environment.
 Developing functional testing procedures and thermal testing of different subsystems of the satellite.
 Development and data processing of AMR magnetometer for FORESAIL 1 and 2 mission (Finnish National Space Mission)
 Quality Assurance of test setups and testing procedures of different satellite subsystems.
 Developing modular functions for magnetotorquer using MATLAB to correlate and implement IGRF and NED coordinates based on different models.

I was undergoing  training at Cranes Varsity in the following modules : 
	Advance C & Data Structures 
	ARM7 Architecture, 
	Programming C, Embedded Protocols – UART, SPI, I2C, CORTEX-M Architecture  
	Linux Commands, Shell Scripting & System Programming 
	Embedded Testing , FreeRTOS
	Machine Learning using Python 
	Automotive with CAN Analysis & AUTOSAR 
	IoT Edge Node Design & Development using Raspberry Pi ( Bluetooth, Zigbee)
	IoT Security – Encryption Standards, Secure Communication 
	Cloud Computing
	Projects : Automatic Smart Parking System using IoT, Home Automation using IoT, IoT based Garbage Collection System, Real time weather conditions monitoring through Wi-Fi

The masters was based on Aerospace Engineering with my specialization is space-based sensors and low frequency noise removal