Dedicated Electronic Engineer holding a Master’s Degree in Electronic Engineering from La Trobe University, Australia. Specializes in designing, testing, AI, manufacturing, data analysis, and IoT. Demonstrates proficiency in Python, Fusion 360, MATLAB and Altium. Known for high technical acumen, innovative solutions, and a proven ability to manage and execute complex engineering projects successfully.
Overview
6
6
years of professional experience
Work History
Electronic Engineer
Centre For Technology Infusion
10.2022 - Current
ESP32 S3 Touch LCD - Warning Alert System
Developed a real-time warning system for a motorcycle project utilizing MicroPython and Bluetooth Low Energy (BLE) implementation. Leveraged the ubluetooth library to establish BLE connectivity with a mobile application, enabling the alert notifications.
Real-time multimedia application
Implemented a Python-based GUI application for a motorcycle project using the Pyqt5 framework and Implemented LED warning indicators controlled by the GUI, which triggered visual alerts, simultaneously transmitted UDP packets which were monitored using Wireshark.
MQTT Stress Simulator
Developed a Python-based automation script utilizing the Paho MQTT client library to simulate and analyze MQTT load and data loss scenarios. Implemented multithreading techniques to generate concurrent publish and subscribe operations, simulating high-load conditions on the MQTT broker.
Real-time Visualisation
Designed a Python-based real-time visualization system using Matplotlib to capture and display sensor data, including CH4, O2, and CO2 levels.
SPI - UART Bridge - Altium Designer
Designed a custom development board using Altium Designer's PCB design tools, incorporating NXP's SC16IS752 SPI-UART bridge chip.
3D Cad Design
Designed several 3D models using Autodesk Fusion 360 and successfully utilized Bambu Studio for 3D printing projects.
Student Trainee
Mercedes Benz R&D Bangalore
03.2018 - 08.2018
Belt drive Simulation
Using Matlab designed a GUI app that calculates and records stress and vibration data generated by belt drives in trucks.
Data Segmentation Application
Designed an machine learning algorithm using Python, Numpy, K-mean and Pyqt framework that trained unstructured data to segment structured data.
Education
Master of Engineering - Electronic Engineering
La Trobe University
Melbourne, VIC
06.2021
Bachelor of Technology - Electronics And Communication Engineering
Gitam University
Bengaluru, India
04.2018
Skills
MATLAB
Fusion 360
Python
MySQL
Altium Designer
MicroPython
Git and Git bash
Team player
Timeline
Electronic Engineer
Centre For Technology Infusion
10.2022 - Current
Student Trainee
Mercedes Benz R&D Bangalore
03.2018 - 08.2018
Master of Engineering - Electronic Engineering
La Trobe University
Bachelor of Technology - Electronics And Communication Engineering
Gitam University
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