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Electronics Engineer & SDE with expertise in backend and UAV technology,
experienced in Java, Android Studio, Figma, Python, and MATLAB.
I enjoy developing tech solutions that blend creativity with functionality.
Hi, I’m Kaushik Chaudhari, a Electronics Engineer with a passion for backend development, UAV systems, and creative tech solutions.
My journey began with building UAVs and embedded systems, and gradually expanded into backend software development, where I enjoy building scalable, efficient systems using Java, Spring Boot, and modern web tools.
I'm a constant learner, always exploring new technologies from robotics and ML to full-stack development and UI/UX design.
These days, my focus is on building impactful tech products that blend my understanding of hardware with robust software design.
HTML
CSS
JS
BOOTSTRAP
REACT
GITHUB
GIT
C
ANDROID STUDIO
JAVA
Spring Boot
FIGMA
ADOBE AI
MATLAB
Disaster-affected areas often face challenges in timely aid delivery due to inaccessibility and logistical issues. This project develops an Autonomous UAV System using ArduPilot, Raspberry Pi, and Pixhawk to navigate autonomously and deploy payloads precisely. It offers a reliable, scalable solution for efficient disaster relief operations.
Founded and built FPVMatrix, a startup e-commerce platform that offers UAVs and FPV components to Indian consumers. The platform is fully functional and handles product listing, customer orders, payments, and notifications.
Developed an interactive web-based tool for farmers that utilizes satellite imagery to help in land area estimation, weather tracking, and crop disease prediction. The tool combines GIS mapping, live climate data, and soil parameters to suggest suitable crops and potential risks.
Analyzed shipping data to identify factors affecting delivery speed and reliability. Trained machine learning models, with Random Forest and Decision Tree achieving the highest accuracy of 74%, to improve shipping performance and customer satisfaction.
A mobile app to enhance community engagement within the college. The app, built using Kotlin, Firebase, and Android Studio, provides a centralized platform for students and faculty to share updates, access resources, and improve communication.
Analyze heart failure datasets using Python, NumPy, and Pandas to identify patterns and factors contributing to heart failure. The project aims to provide insights into patient data for improved diagnosis and treatment strategies.
