About me

I'm a high school student/tech enthusiast with a deep passion for Robotics, AI and machine learning. I enjoy working with technologies, frameworks, machines and sensors that bring Robots with AI to life, such as TensorFlow and google Gemini in Google Cloud. My web development skills include HTML, CSS, and JavaScript, and I love building web applications using Django.

Python is my go-to programming language, and I'm always exploring new ways to leverage its power. I'm also fascinated by Google Cloud and its capabilities, and I enjoy experimenting with Kubernetes to manage containerized applications. My interests revolve around cutting-edge technologies, especially those related to Robotics, AI, web development, and cloud computing.

What i'm doing

  • design icon

    Robotics

    • VEX VRC
    • FLL

  • Web development icon
  • mobile app icon

    Achievements

    • Harvard CS50 on Python and Web Programming
    • Duke University: Data Science with NumPy, Sets, and Dictionaries
    • University of Michigan: Joy of coding with Python
    • Microsoft: PyTorch fundamentals
    • Google Cloud: Introduction to Generative AI and Kubernetes Engine
    • VEX Robotics: Won design award for VEX robot design
    • Harvard CS50's Web Programming with Python and JavaScrip
    • University of Michigan: Joy of coding
    • Stanford University: Intro to Machine Learning

  • camera icon

    Community Services

    • YAPA Kids - Tutoring Science to elementary and middle schoolers through YAPAKids.org
    • ENGin - Taught English reading & writing skills and helped to improve communication skills for students affected in war in Ukraine
    • Safe Harbor of Chester County - Provided media support, editing and translating, research and virtual mentorship
    • Sankara Eye Foundation - Worked as a fundraising ambassador



Projects



Achievements



Experience

  • HUVTSP - Vanguard Defense

    • Trained yolo classification model to achieve around a 95% accuracy
    • Led the Aerial/Satellite data track
    • Ensured high precision to support object-detection model training
    • Detailed dataset trade-offs and the end-to-end labeling pipeline

  • Machine Learning Project – Income Classification, Stanford University

    • Built a classification model using the Adult Income dataset (UCI ML Repository) to predict whether individuals earn over or under $50K annually
    • Trained and fine-tuned multiple models including Logistic Regression, Decision Tree, Random Forest, AdaBoost, Gradient Boosting, XGBoost, Bagging Classifier, and Support Vector Machine (SVM)

  • Advances in AI Workshop, Duke University

    • Gained hands-on experience with AI platforms and tools while exploring ethical AI development, focusing on fairness, transparency, accountability, and responsible prompting
    • Analyzed real-world AI applications across healthcare and finance, investigating societal impacts, bias mitigation, model evaluation, and emerging intersections with quantum computing

  • Forest Cover Classification – UCI Covertype Dataset

    • Built a machine learning pipeline to classify forest cover types from terrain and soil features
    • Performed data preprocessing, exploratory visualizations (scatter plots, distributions, correlation heatmaps), and one-hot encoding of categorical features
    • Trained multiple classification models (Logistic Regression, KNN, Decision Tree) with multi layered cross-validation and compared performance using accuracy metrics & execution time



Resume

Education

  1. B. Reed Henderson High School, West Chester, PA

    Aug 2023 — Aug 2027

    • AP: Computer Science Principles and Computer Science A
    • Accelerated Honors: Math and Biology
    • Honors: Engineering Design and Architecture

Internships

  1. HUVTSP - Vanguard Defense

    Jun 2025 — Jul 2025

    • Trained yolo classification model to achieve around a 95% accuracy
    • Led the Aerial/Satellite data track
    • Ensured high precision to support object-detection model training
    • Detailed dataset trade-offs and the end-to-end labeling pipeline

Projects

  1. NoteFlow - A Local-First, Private Alternative to Notion

    Aug 2025 — Sep 2025

    • NoteFlow is a local-first, single-file notes app that runs 100% in your browser—no accounts, servers, or background sync.
    • Your entire workspace lives on your device (saved to local storage), with one-click Export/Import to a single JSON file, hierarchical pages, a flexible theming engine, and optional Google Drive backups for convenience.
    • It’s a private, portable Notion-style workspace where your data stays yours.

  2. Machine Learning Project – Income Classification, Stanford University

    Jun 2025 — Jul 2025

    • Built a classification model using the Adult Income dataset (UCI ML Repository) to predict whether individuals earn over or under $50K annually
    • Performed data cleaning, label encoding, exploratory data analysis, and feature preprocessing to prepare the dataset for training and evaluation
    • Trained and fine-tuned multiple models including Logistic Regression, Decision Tree, Random Forest, AdaBoost, Gradient Boosting, XGBoost, Bagging Classifier, and Support Vector Machine (SVM)

  3. Advances in AI Workshop, Duke University

    Jun 2025 — Jul 2025

    • Gained hands-on experience with AI platforms and tools while exploring ethical AI development, focusing on fairness, transparency, accountability, and responsible prompting
    • Analyzed real-world AI applications across healthcare and finance, investigating societal impacts, bias mitigation, model evaluation, and emerging intersections with quantum computing

  4. Vets IT Guide

    Dec 2023 — Present

    Built an AI infused Site and mobile web app using Python, Django, Google Gemini, JS to help and guide veterans to get in to IT jobs.

  5. iVoted

    Jun 2024 — Nov 2024

    Brought voting awareness in the local community by building a website to emphasize the importance of voting and distributing door-to-door flyers.

  6. Pong (Human vs AI)

    Spe 2024 — Oct 2024

    Built a Python base video game using NEAT algorithm for human Vs AI pong game.

  7. Endangered Animals

    Jun 2024 — Jul 2024

    Created a website using Python, Django, Javascript, CSS to build awareness for Animal Endangerment.

Certificates & Awards

  1. Harvard

    • CS50's Introduction to Programming with Python
    • CS50’s Web Programming with Python and JavaScript

  2. Duke University

    Data Science with NumPy, Sets, and Dictionaries

  3. University of Michigan

    Joy of coding with Python

  4. Microsoft

    PyTorch fundamentals

  5. Google Cloud

    • Introduction to Generative AI
    • Introduction to LLM
    • Introduction to Responsible AI
    • Prompt Design in Vertex AI
    • Applying AI Principles
    • Getting Started with Google Kubernetes Engine
    • Introduction to AI and Machine Learning

My skills

  • Coding: Python, Java, Java script, Django, NumPy, PyTorch, TensorFlow, HTML 5, CSS
    80%
  • CAD: AutoCAD, Inventor, Revit
    70%
  • Machines: Drill Press, Band Saw, 3D Printer, Laser Cutter, Dremel, Chop saw
    90%
  • Mobile Apps
    50%


Contact

Contact Form