About me

Hi there! 👋

🎓 I'm a junior at Vanderbilt University, studying Computer Science, Mathematics and Data Science.

🚀 If you want to check out what I'm upto - you're in the right place! There's a lot of things I'm interested in so besides what you'd see on my resumé, I've thrown in some of the little exploratory projects I'm attempting.

🏸 Ask me about: Playing badminton and music production!

What i'm upto

  • Web development icon

    Recent Internships

    Recently finished on an image generation project with Johnson & Johnson!

  • mobile app icon

    Research: Neurdy Lab

    I'm a research intern at Vanderbilt working on active learning for fMRI signal analysis

  • mobile app icon

    Research: MACS Lab

    Check out my recent publication on transfer learning for energy predictions at the Safeprocess 2024 conference!

  • design icon

    Explorations

    Attempting to classify music genres by identifying patterns and extracting musicality features from audio waveforms

  • Web development icon

    (Minor) Explorations

    Tried out the new spatial computing Vision OS developer tools by making a flashcards app on Vision OS [View progress]

  • design icon

    Explorations

    Built a sentiment analysis model from scratch to try out data cleaning and feature engineering on text using the IMDB Movie Reviews dataset

Skills

  • Python
  • C++
  • Java
  • C
  • Tensorflow + Keras
  • Pytorch
  • Machine/Deep Learning
  • SQL
  • MongoDB/Firebase
  • React Native
  • React
  • HTML/CSS
  • Web development
  • App development (Swift)
  • Git

Education

Education

  1. Vanderbilt University

    May 2026
    Double major in Computer Science and Applied Mathematics, Minor in Data Science
    • Cornelius Vanderbilt Scholarship: Full-tuition merit scholarship awarded to under 1% of applicants
    • GPA: 4.0/4.0 (Dean's List)
    Teaching Assistant Roles
    • CS3262 Applied Machine Learning
    • CS3251 Intermediate Software Design
    • CS2212 Discrete Structures
    Leadership & Involvement
    • BrainHack Vanderbilt (Head of Development)
    • VandyHacks (Development Board)
    • Vanderbilt Data Science Club (Developer)
    • Vanderbilt Undergraduate Research Journal (Editorial Review Board)
    • Badminton Club
    Data Structures Algorithms Machine Learning Mathematical Data Science Scientific Computing Computer Architecture Programming Languages Operating Systems Linear Algebra Probability & Statistics Calculus

  2. Shikshantar Senior Secondary School

    May 2022
    High School Diploma, ISC
    • Grade: 99%
    • Student Council IT Committee
    • Badminton School Team Captain

Experience

Experience

  1. Research Intern @ Neurdy Lab, Vanderbilt University

    September 2024 - Present

    Performing active learning based analysis of neuroimaging (fMRI) signals to verify reliability of the waveform data

    Python Pytorch Tensorflow Deep Learning

  2. Software Engineering Intern @ Bluechink Technologies

    Jul 2024 - Aug 2024

    Developed a full-stack real-time computer-vision based safety inspection system on video frames for manufacturers.
    Improved component detection accuracy by 40% by distinguishing similar items by color, indentations and orientation.

    OpenCV Yolo v8 Object Identification Image Enhancement OCR Python

  3. Software Engineering Intern @ Johnson & Johnson

    May 2024 - Jul 2024 | Summer 2024 Intern

    Implemented an image outpainting tool using Amazon Bedrock and Stable Diffusion in a Streamlit-based web application.
    Optimized database usage in automated prompt engineering for text generation.

    Stable Diffusion Langchain Amazon Bedrock RAG Python

  4. Research Intern @ MACS Lab, Vanderbilt University

    Oct 2022 - May 2024 | Summer 2023 Intern

    Modelling and Analysis of Complex Systems (MACS) Lab, Institute for Software Integrated Systems

    Utilized transfer learning for energy usage predictions in cyber-physical systems, implemented papers and analyzed results obtained using real data from 6 university buildings.

    Check out my recent publication!

    Recurrent Neural Networks Time-series Data Keras Pytorch Python

  5. Data Science Intern @ cure.fit (cult.fit)

    May 2023 - Jul 2023

    Created and deployed a machine learning model to predict user behavior for a 2 million user base by collecting user activity and app interaction information and wrote end-to-end documentation for this project

    Databricks MySQL Apache Spark Metabase Trino Delta Lake AutoML Business Intelligence

  6. Software Engineering Intern @ Drishtee Sustainable Communities

    Jan 2023 - Apr 2023

    Resolved platform compatibility issues, performed code reviews and added new app screens compatible with the updated PHP backend in a cross-platform barter system app for rural communities

    React Native GitHub

  7. Software Engineering Intern @ Hitachi MGRM Net

    May 2021 - Jul 2021

    Modeled a queueing algorithm to match patients, nurses, and doctors, in an e-governance telemedicine application used by 15 dispensaries and 2 hospitals, matching 100+ patients per day

    Automated conversion of high school exam results from raw text to spreadsheets using text pattern analysis; analyzed exam performance statistics using data of 1500+ students

Projects

Project Name

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