- Collaborating on an AI research project aimed at improving hiring workflows by designing and testing agent-based systems that automate task coordination.

- Assisting in backend development and large language model (LLM) integration to enhance system accuracy, reliability, and performance.

-Participating in weekly research meetings and maintain detailed documentation to ensure alignment between technical development and research objectives.

- Collected and entered technical data from over 30 solar projects into an energy simulation platform to validate accuracy.

-Identified and documented discrepancies between platform predictions and real-world energy outputs, contributing to better data hygiene and reliability.

-Delivered weekly reports and a final evaluation document that led to platform improvements and enhanced user experience for future testers and educators.

- Developed and launched ProPathway, an AI-powered career guidance platform, by designing user flows and logic, resulting in 60+ waitlist signups during launch week.

- Contributed to authentication and payment workflows across team projects by implementing secure user access and checkout logic, streamlining onboarding and feature access.

-Participated in agile sprint cycles and implemented feedback through collaborative code reviews, helping deliver polished prototypes under tight deadlines.

- Conducted end-to-end testing to identify, document, and report bugs across various platforms.

- Designed and executed test plans and test cases for multiple software applications.

-Ensured smooth software releases by contributing to QA cycles and user acceptance testing.

-Applied Agile methodologies to optimize testing efficiency and collaboration in remote environments.

Built a mobile app that identifies produce using a live camera scanner and recommends recipes to reduce household waste. Integrated basic AI for color variation detection and improved UI during a GDSC hackathon.
Tech: Swift, Firebase, OpenAI API

Developed a full-stack web application that helps users optimize their resumes and prepare for interviews using AI. I used Next.js and JavaScript to build the interface, integrated the OpenAI API to generate personalized resume tips, and connected Firebase for storing user data. I also implemented secure user authentication using Clerk and set up Stripe to manage subscriptions for Free and Pro plans. Throughout the project, I tested and evaluated AI-generated outputs to ensure quality, accuracy, and usefulness for job seekers.

Developed an AI-powered assistant using Next.js, OpenAI, and Pinecone to help students find professors based on personalized search criteria. The project features an advanced search and recommendation system, voice-to-text input, and a user-friendly experience designed to simplify professor discovery.