I was actively involved in an R&D-focused project alongside the CEO and CTO, where we explored innovative applications of AI/ML in creative media. The project aimed to develop an intelligent system that could automatically generate lyric videos from a user-provided prompt.

My role covered both research and development. I was responsible for testing and evaluating diverse AI models, including text-to-image generation, audio analysis, and multimodal models. This hands-on experimentation allowed us to assess the strengths and limitations of each model and decide on the best tools for our use case.

In parallel, I collaborated closely with the technical leadership to build a dedicated React-based application that served as the front-end interface for users. The back-end was powered by Python, which we used for model integration, task automation, and performance optimization.

This experience helped me deepen my understanding of how to apply machine learning to real-world problems, manage experimentation cycles, and deliver production-ready interfaces that blend AI with intuitive user experiences.

A personal finance management application that allows users to track expenses, manage budgets, set financial goals, and visualize spending patterns. The application follows a full-stack architecture with a React frontend and FastAPI backend.

Developed a scalable and secure e-commerce platform using the MERN stack with features like user authentication, role-based access control, product management, order handling, payment integration, and responsive design.This was my graduation project.