CS + GIS & Data Science (Minor) @ University of Illinois at Urbana Champaign
Machine Learning Intern @ Spectrum
Ex - Software Engineer Intern @ OrgOrg (YC24)
I am an aspiring junior in Computer Science + GIS with a Data Science minor at the University of Illinois at Urbana Champaign. I aspire to design software and use relevant knowledge and skills to make an impactful contribution to communities, solve problems, and effectively automate tasks.
I developed predictive models and customer analytics solutions, including logistic regression for retention forecasting and clustering algorithms for customer segmentation. I built automated Python web scraping systems that delivered competitive intelligence to executives, and worked with large-scale datasets using AWS Redshift and MySQL to power machine learning initiatives that drove business decisions.
I developed "BrewMates," a social networking feature for the OrgOrg suite using NextJS, React, and PostgreSQL that enabled employees to initiate coffee chats and enhance workplace social connections. I created mockups and wireframes in Figma while collaborating with professional UI/UX designers to bring concepts to life. I improved team connectivity by building "Go Links" for seamless platform navigation and participated in code reviews and development cycles, gaining valuable experience in collaborative software development environments.
I deployed a SaaS flashcard application using Figma, React, Next.js, Firebase, Clerk, and Vercel with agile methodologies and CI/CD practices. The product integrated Gemini AI API for dynamic content generation and Stripe API for payment processing. I led a team of 4+ engineering fellows through the complete development lifecycle from design to deployment using MVC architecture patterns. I participated in weekly technical sessions with engineers from Google, Y Combinator, and Amazon to stay current with emerging technologies and industry best practices.
Designing and refining AI prompts to understand the app’s capabilities, improving user interaction. Performing comprehensive testing and documenting prompt engineering results to ensure high accuracy and reliability of AI responses and to provide valuable insights for future response development.
I instructed a class of 3,800+ students in Java programming and software engineering fundamentals. Through dedicated office hours and personalized guidance, I helped students overcome challenging concepts, resulting in a 16% improvement in overall class performance on programming projects.
I launched and scaled a successful SAT tutoring business that generated over $12,000 in revenue and expanded operations by 12% through training additional tutors. I conducted both individual and group tutoring sessions, helping students achieve an average score improvement of 110+ points. I built a custom website using React with user authentication and Calendly integration to streamline client scheduling and business operations.
Honors: Dean's List (3 Semesters), 4.0 CS GPA
Relevant Coursework: Models of Computation and Algorithms, Computer Systems, Data Structures, CS Statistics & Probability, Discrete Structures, Linear Algebra, SWE Lab, Data Science Discovery, Data Science Exploration
ACM Mentorship Committee: As a committee member, facilitated mentor-mentee connections and fostered professional networking opportunities, linking students with industry professionals.
Project Code: Worked with a team to create an AI therapeutic chatbot with sentiment analysis and voice chat features.
UIUC Mania: Served as a liaision to support teams that traveled from other univerisities to UIUC for the Mania cultural dance competition.
Association of Information Systems (AIS): Engaged in Python bootcamps, enhancing programming skills & leadership.
ACM SIGMA (Math and Algorithms): Participated in math and algorithm focused sessions, relating them to CS and delving into runtimes.
Java, C++, Python, C, SQL, JavaScript, HTML/CSS, ReactJS, NextJS, NodeJS
OpenAI, Gemini AI API, Stripe API, Bitquery, weatherAPI, etc.
AWS, AWS Sandbox, Snowflake, Tableau, Pandas, Numpy, Matplotlib, Git, Docker, Github, Google Firebase, Material-UI, VS Code, Android Studio, Eclipse, Figma
English, Hindi, Gujarati, Spanish
Currently in development: Creating a splitting tool that allows groups to divide up finances in custom ratios and between custom sub groups.
Currently in development: Creating a web-based journaling platform where users can log daily entries. The AI analyzes these entries to understand user concerns, offering personalized therapeutic insights and decision-making support.
Designed a website for my $12k+ tutoring business with user authentication, where students and parents schedule meetings with on deck Calendly integration, login to view progress, see payments, and access meeting schedules.
Try test login: Username : test, Password : student_t
(Worked with a teammate): Developed an AI-powered Flashcards SaaS platform using Next.js and React, enabling users to generate flashcards from phrases via the Google Gemini AI API. Implemented user authentication with Clerk, providing seamless sign-up and login. Integrated with Google Firebase for real-time updates and database management, allowing users to save, access, and delete flashcards on their dashboard; connecting with Stripe API to enable purchasing of premium and pro service tiers.
Code
Developed a web application to track pantry items and their quantities using Next JS, ReactJS, and Firebase for data storage. Integrating Google Gemini AI API to generate 5 recipe recommendations based on available ingredients through API calls. User-friendly interface for adding, updating, and viewing pantry items; and real-time updates, hosting through Vercel.
Code
Built a predictive model using recurrent neural networks to analyze 12 years of stock price data, achieving 97% accuracy in forecasting future stock prices; leveraging Python libraries such as NumPy, TensorFlow, and Keras.
Code
Designed and developed a personal portfolio website to showcase projects and skills divided in different categories, leveraging modern web technologies for a seamless user experience and effective showcase.
Code
Innovated a Tic Tac Toe spinoff game in Java using iteration algorithms, enhancing user engagement with unique gameplay mechanics where players must form three words in a row with at least one common letter to win.
Code
Beginner Level: Engineered an AI chatbot to parse extensive articles on electric cars, providing precise answers to user queries through web scraping and indexing using Python and machine learning libraries, along with greeting responses.
Code
Developing a comprehensive Java application for budget management and cryptocurrency tracking, integrating JFreeChart for data visualization and Bitquery APIs for real-time data access. Implementing features for tracking expenses and savings, providing users with insights into their financial habits.