Collaborated with a cross-functional engineering team to design, develop, and iterate on high-performance web application features; built and optimized scalable UI components using JavaScript, React.js, CSS, and jQuery; implemented an LLM-driven Retrieval-Augmented Generation (RAG) solution enabling users to query and derive insights from unstructured document sets through vector search and prompt-engineering workflows; actively participated in agile ceremonies, including daily stand-ups and code reviews, to ensure alignment, quality, and delivery velocity.

Collaborated with a team to develop and enhance web application features, designing responsive interfaces using ReactJS, Material UI, Redux, and Tailwind CSS. Deployed Selenium testing with Python on AWS for application feature robustness. Actively participated in code reviews and daily stand-ups to ensure project alignment and progress.

Contributed to developing a B2B AI-enabled fintech application designed to predict customer order prices globally. The frontend was built using React for an intuitive user interface, while the backend, implemented in Java, ensured robust and scalable performance. This solution provided accurate price predictions, enhancing decision-making for businesses worldwide.

Kalinga Institute of Industrial Technology

St. Xavier's High School, Kedargouri, Bhubaneswar

Buxi Jagabandhu English Medium School 2, Bhubaneswar