Create your free profile

About

A Full Stack Web Developer, AI Enthusiast, and AI/ML Engineer focused on building practical solutions in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). Experienced in developing AI-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and Computer Vision models.

Experience3

  1. AI/ML Summer Trainee

    Jun 2026 — Jul 2026

    DRDO - Integrated Test Range (ITR)

    Researched and developed a Deep Learning and Computer Vision pipeline for multi-class brain tumor classification using MRI imaging data. Explored and applied YOLOv8-based computer vision techniques for real-time image segmentation and classification tasks.

  2. Software Engineer Intern

    May 2026 — Jun 2026

    Tata Steel Ltd.

    Designed and deployed an AI-powered data analysis chatbot and dashboard capable of interacting with structured CSV data through a conversational interface. Integrated LLM APIs and executed comprehensive data preprocessing, data cleaning, and database integration to improve operational efficiency of the chatbot.

  3. Software Programming Intern

    Jun 2024 — Jul 2024

    The Website Makers

    Assisted in the development, testing, and maintenance of scalable software applications using modern frameworks and enterprise software engineering practices.

Projects5

  • Nexus AI Full-Stack RAG Chatbot

    Built an advanced conversational AI agent leveraging Llama 3.1, implementing Retrieval-Augmented Generation (RAG) with real-time web-assisted information retrieval and persistent conversation history.

  • AI-Powered Data Chatbot (Tata Steel Project)

    Engineered a conversational AI dashboard for structured CSV data, integrating LLMs to allow users to query and analyze uploaded datasets seamlessly.

  • Multi-Class Brain Tumor Classification AI (DRDO Project)

    Designed a multi-class deep learning model to accurately classify brain tumors from MRI images, optimizing data preprocessing and model evaluation workflows.

  • YOLO Object Detection

    Developed a robust computer vision application utilizing the YOLO architecture for efficient and accurate object detection and analysis.

  • Personal Portfolio Website

    Designed and developed a full-stack, responsive personal portfolio to showcase AI/ML projects, technical skills, and software development capabilities.

Education2

  • B.Tech in Computer Science and Engineering

    2023 — 2027

    Gandhi Institute of Excellent Technocrats

  • Intermediate of Science

    2021 — 2023

    Prince Higher Secondary School