Kabir Sharma

Hello, I am Kabir Sharma, a pre-final year (6th semester) CSE student at SRM Institute of Science and Technology. I hold a CGPA of 9.6, and I am actively looking for Summer 2025 internship opportunities. I am open to relocation, and ready to work in-person, hybrid or remote.

I am keen to delve into Full Stack and Data Engineering roles, and I have experience in building web applications using PERN (PostgreSQL, ExpressJS, ReactJS, NodeJS). I am also familiar with C++, Python and SQL.

What excites me most about the tech industry is its endless potential for creativity and impact. I love the challenge of turning ideas into reality. Every project I work on is an opportunity to learn, grow, and contribute something valuable.

Beyond technical skills, I try to bring all my efforts to the table. As the former Head Boy of my school, I honed my ability to guide, collaborate, and drive initiatives to success—qualities that have translated seamlessly into my academic and professional journey.

May 2024 — July 2024

Website Development Intern • Space Story

Contributed to the design and development of the organization's website, optimized its responsiveness across various devices, resolved technical issues promptly, and collaborated effectively with the team to meet project milestones.

HTML

CSS

JavaScript

Design Strategy

Website Responsiveness

Realtime Chat App

Built a full-stack real-time chat application using TypeScript, React, and Socket.io. Implemented user authentication with JWT, real-time messaging, and PostgreSQL database with Prisma ORM. Features include online status indicators, message history, and gender-based avatar generation.

TypeScript

React

Tailwind

PostgreSQL (NeonDB + Prisma)

Socket.io

IPL Win Prediction

Achieved an accurancy of 79.8% in predicting matches. Analyzed match features, team performance, and player statistics. The project incorporates robust data preprocessing, feature engineering, and a logistic regression model to ensure reliable predictions.

Logistical Regression

Caffien

Developed a coffee tracking app using Firebase and React. Implemented features like logging coffee consumption, calculating caffeine levels, cost analysis, and responsive design. Created a custom hook for global state and data management.

Firebase

React

FantaCSS

Spotify Analytics ETL (Ongoing)

Building an ETL pipeline to extract, transform, and load Spotify data into a PostgreSQL database. The project aims to analyze user listening habits, track trends, and generate personalized recommendations.

Python

SQL

F1 Tyre Pit Strategy Simulator

Tool for optimizing tyre strategies in a racing simulation. Evaluates different tyre combinations and determines the best pit stop strategy to minimize total lap time over a given number of laps and also plots the lap times for visual comparision.

Python

NumPy

Matplotlib