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
About
Here's a little background
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.
Education
MS in Computer Science
Indiana University
August 2023 - Present
Coursework:
- Applied Algorithms
- Computer Vision
- Data Mining
- Applied Machine Learning
- Engineering Cloud Computing
- Software Engineering
Experience
Software Engineer Intern
Hyphenova Network
June 2024 - August 2024
Responsibilities & Achievements
- Designed and developed a dynamic application using Flutter Flow, creating distinct interfaces for creators and brands to ensure a seamless, high-performance user experience.
- Utilized Supabase to efficiently store and manage application data, ensuring reliability, scalability, and integration with external APIs as required.
- Integrated Google authentication to streamline the user login process, enhancing security, and ensuring robust API communication in line with established standards.
Web Developer Intern
KasaKai Mumbai
July 2021 - November 2021
Responsibilities & Achievements
- Developed a responsive website using Django framework, integrating Google authentication for secure user login; streamlined user experience and increased user engagement by 20%.
- Optimized project workflow by leading cross-functional collaboration and implementing version control system (Git); boosted team efficiency by 40% and reduced code conflicts by 70%.
Graduate Teaching Assistant
Indiana University - Bloomington
August 2024 - Present
Responsibilities & Achievements
- Assisted in teaching CSCI-C323 Mobile App Development at Indiana University Bloomington, focusing on Android app development.
- Guided students in utilizing development tools, languages, and features like UI design and backend coding.
- Collaborated with professors to enhance students' understanding of sensors utilization in mobile app development.
Graduate Teaching Assistant
Indiana University - Bloomington
August 2024 - Present
Responsibilities & Achievements
- Facilitated the delivery of course content for cross-platform app development by assisting in teaching CSCI-P535 Mobile and Pervasive Computing.
- Guided students in leveraging development tools and version control for improvements in UI design and both frontend and backend coding using React Native, Flutter, and Figma with Agile methodology.
- Collaborated with professors to deepen students' comprehension of sensor utilization in cross-platform app development while emphasizing effective communication and API integration principles.
Software Engineer Intern
Nestle
March 2022 - May 2022
Responsibilities & Achievements
- Researched and implemented cost-cutting strategies in the IT sector, resulting in savings of 10 million rupees.
- Championed cross-functional collaboration to evaluate and execute feasible ideas, resulting in a 40% reduction in production time and a 15% increase in product quality.
- Spearheaded the migration of several database servers to a cloud-based solution, leading to a 10% reduction in expenditures for a specific site.
Skills
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
Projects
Project 1 of 6: IU Course Compass
Developed IU Course Compass as an AI-driven course planning tool that leverages structured academic data and user input to generate tailored course recommendations based on prerequisites, credit distribution, scheduling constraints, and career objectives. Also, implemented a Gemini API-integrated chatbot that functions as a virtual advisor, capable of interpreting natural language queries and providing context-aware academic guidance in real time. Designed and deployed a modular FastAPI backend with endpoints for intelligent course recommendation, query processing, and data validation, supported by a MongoDB database and a performant frontend built with Vite, React (TypeScript), Shadcn-UI, and Tailwind CSS.
Project 2 of 6: X-Ray Disease Identifier
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.
Project 3 of 6: Wellness Tracking System
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
Project 4 of 6: SummarizerAI
Built SummarizerAI to streamline information retrieval by offering customizable summaries (short, medium, long) and an interactive Q&A system for any uploaded PDF. Combined FastAPI for a scalable backend, PyMuPDF for text extraction, and LLaMA 3.1 for high-quality AI-driven summarization and question answering. Also, developed the Android app using Jetpack Compose to ensure a seamless experience for uploading documents, viewing summaries, and interacting with contextual AI insights.
Project 5 of 6: Ocular Disease Recognition
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.
Project 6 of 6: iOS Calculator Replica
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.
Contact
I have got just what you need. Let's Talk
+18122872195
rohanvdarji@gmail.com
USA