About me

A student at Heriot-Watt University, I grew up being a straight-A student and an all rounder. Whether it is a Hackathon, Fellowship or university coursework, I do my work passionately. Eager to learn more about Full-Stack, AI and ML, I accept any task, no matter the difficulty, with open arms, fueled by optimism and curiosity.

   LINKEDIN

Leadership

• Led my team to win the CIHT( Chartered Institute of Highways and Transport) Dubai Hackathon, 2024.
• Led my team to develop a text-to-video generator using OpenAI API and present it at Compass Hackathon, Abu Dhabi.
• Spearheaded team projects for an SAP Gold Partner company and presented demos for the ERP software to clients.

   GITHUB

CONSISTENCY

• Scored an All India Rank of 851 amongst 21,00,000 candidates in a Nation wide entrance exam
• 1st Rank Holder from grade 1 to grade 12
• Distinction and Merit in ABRSM piano and music theory grade 1 - grade 6

   RESUME

My Projects

Worked on several projects using React, React Native, primarily in Javascript. Worked with generative AI models primarily in python.

Path Tracker

A sophisticated mobile app for real-time path tracking, featuring secure user authentication, personalised track management, and detailed route visualisation with a custom Express API and MongoDB backend.

Check out on github

Food Products Inventory and Supplier Management System

A comprehensive application built using SAP UI5 framework designed to efficiently track and manage food product stock and supplier details. It categorizes food products, provides detailed information about each item and its supplier, and includes a convenient add-to-cart feature.

Check out on github

Community Service App

This decentralized app empowers users to earn tokens and badges by posting and verifying good deeds, which can be redeemed for online courses. It fosters community engagement and helps NGOs increase their reach.

Check out on github

MycoBytes: A Text-to-Video Generator

This web application automates the creation of engaging videos from text prompts. It uses OpenAI's GPT-3.5 to generate a story, OpenAI's Image API to visualize key moments, and combines these with audio narration into a final video.

Check out on github