As a Teaching Assistant for Machine Learning, I support a class of over 1,000 students by offering personalized guidance on core ML concepts, debugging code, and mentoring project development. I actively contribute to the creation of challenging yet accessible assignments that deepen students’ conceptual understanding.

In parallel, I am researching how Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) can enhance educational chatbots. This includes building a query-driven vector search system using ChromaDB and Hugging Face models to enable efficient and context-aware document retrieval on platforms like EdStem.

I worked for Infosys as a Digital Specialist Engineer for an year in which I leveraged my web development skills to contribute to an IoT-based project for visually impaired users. 

I focused on improving website navigation by implementing Web Content Accessibility Guidelines (WCAG) using HTML, CSS, and ReactJS. Additionally, I played a key role in enhancing the search functionality, ensuring users could effectively find the information they needed.

 My problem-solving skills were also utilized to identify and resolve user interface bugs, ultimately improving the overall project quality.