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Education
Professional Experience
07/2024 – 01/2025 | Indore, India
  • •Preprocessed and trained a model from scratch to classify 2D magnetic resonance images, and computed tomography scans, with an accuracy of 98%.
  • •Deployed an end-to-end ML pipeline using Flask on Render, reducing processing time and enhancing user experience.
  • •Assisted in creating a model to localize brain tumors in 2D MR images, contributing to more accurate and timely diagnoses.
  • •Developed a reminder website and a Google.com clone using React.js, Ant Design, and Firestore, enhancing user experience and functionality.
    • Skills
    Programming Languages

    Python, Javascript, Bash

    AI/ML

    TensorFlow, Gemini API, Git

    Data Science

    Pandas, NumPy

    Platforms

    AWS EC2, Linux, Render

    Database

    MySQL, MongoDB, Pinecone

    Frameworks

    Flask, React.js, Streamlit, FastAPI

    Projects
    09/2024 – present
  • •Developed an AI-powered document querying tool that became a preferred resource among 30+ peers for end-semester exam preparation, utilizing Streamlit, Gemini and Pinecone to optimize vector storage efficiency.
  • •Based on the naïve Retrieval-Augmented Generation to deliver contextually accurate responses.
  • •Engineered and implemented a WhatsApp chatbot for food ordering, leveraging Flask and Gemini API to deliver seamless conversational experiences.
  • •Deployed the Flask backend on Vercel, enhancing operational reliability with comprehensive logging and monitoring systems using webhooks.
  • •Worked on a deep learning model using Convolutional Neural Networks (CNN) for the multi-classification of 38 different plant leaves from image data.
  • •Utilised transfer learning (VGG16), resulting in a 15% increased accuracy.
  • •Using the PlantVillage dataset, comprising over 54,000 images helped achieve 81% accuracy.
    • 12/2022 – 04/2024
  • •Created a Discord bot with server management, engagement features, reminders, timers, and image resizing using Python, asynchronous programming, and MongoDB Atlas.
  • •Hosted the bot on AWS Elastic Compute Cloud (EC2) which ensured maximum uptime.
  • •Integrated event listeners to automate actions such as disconnecting users from voice channels and logging error messages, which improved server monitoring and management.
    • Certificates