BE in Information Technology
Mumbai University
August 2019 - June 2023
Coursework:
- Advanced Data Structure and Analysis
- Computer Network Security
- Software Testing and QA
- Mobile App Development
- Wireless Technology
- AI and DS
I am a computer science professional pursuing a Master’s at Indiana University, Bloomington, specializing in Algorithms, Machine Learning, and Software Engineering. I hold a Bachelor’s in Information Technology from the University of Mumbai. My experience includes an internship at Hyphenova Network, where I created a Flutter Flow application, and at Nestle India, where I implemented IT cost-saving strategies. I have also worked on AI-based projects like Ocular Disease Recognition and X-Ray Disease Identifier, achieving high accuracy rates. I enjoy staying updated on AI and web development innovations.
Mumbai University
August 2019 - June 2023
Coursework:
Indiana University
August 2023 - Present
Coursework:
Hyphenova Network
June 2024 - August 2024
KasaKai Mumbai
July 2021 - November 2021
Indiana University - Bloomington
August 2024 - Present
Indiana University - Bloomington
August 2024 - Present
Nestle
March 2022 - May 2022
C
Android Studio
Express JS
MySQL
Kotlin
Flutter
Node JS
HTML
JavaScript
React
Flask
Heroku
Bootstrap
Django
CSS
Python
C++
Docker
Mongo DB
FlutterFlow
AWS
GitHub
Git
Supabase
Engineered a diagnostic app using Flutter that leveraged AI to analyze chest X-rays; achieved an accuracy rate of 95% in predicting infection status, aiding in early diagnosis and treatment planning. Used VGG-19 deep learning model to predict output with an accuracy of about 80% which was trained on data from National Institute of Health which consisted of about 100k X-Rays comprising data of 14 different types of diseases. Added a diet section to the app which allowed users to get a diet plan based on specific number of calories. Data was fetched and posted on the app through an API.
Developed a comprehensive Wellness Tracking System, enabling users to monitor various health metrics. This includes tracking calories burned, logging workout routines, and accessing professional support from instructors. Integrated OAuth and Google Login for secure authentication to ensure a seamless user experience. Also, incorporated a video upload feature, allowing instructors to share their workout videos, and a Chat Bot for real-time assistance. To make our application accessible to users worldwide, we hosted the website on Vercel, a platform known for its global CDN, ensuring fast load times no matter where the user is located
Developed the Ocular Disease Intelligent Recognition (ODR) system, is built on the VGG-19 model, enhanced with additional layers to boost its predictive capabilities. Trained the model on a comprehensive dataset of 5000 ocular images, achieving an accuracy rate of 95%. This high precision highlights the model’s superior performance and its potential to revolutionize ocular disease diagnosis. Deployed the entire project on Amazon Web Services (AWS) using a Continuous Integration/Continuous Deployment (CI/CD) pipeline, ensuring a seamless transition from development to production. Utilized the EC2 instance and Elastic Container Registry services of AWS for deployment.
The application was designed to mimic the functionality of an iOS calculator, including operations like addition, subtraction, multiplication, and division. Used Kotlin, a statically typed programming language that runs on the Java Virtual Machine (JVM) and can be used to develop applications and the user interface of the calculator was designed using XML. This project demonstrates my skills in mobile app development, understanding of Kotlin and XML, and my ability to effectively use Android Studio for app development.
+18122872195
rohanvdarji@gmail.com
Indiana, USA