Portfolio Website v3

Jan 2025

• Designed and developed a fully responsive portfolio website.
• Showcases personal projects, skills, and achievements.
• Utilized Next.js for server-side rendering and optimized performance.
• Styled with TailwindCSS for modern and consistent UI.
• Integrated animations using Framer Motion for enhanced user experience.

Model UN 2024-25

Dec 2024

• Awards So Far:
• 🥉 3rd Place, Churchill, Despicable Me Committee

Congressional App Challenge 2024

Dec 2024

• Developed a web app aimed at increasing recycling awareness.
• Built with Next.js and TailwindCSS for a responsive and modern design.
• Implemented interactive features to encourage user engagement.

Computer Science Scholar Society

Oct 2024

• Founded a CS club at school to attend competitions and build projects.
• Planning to compete at near by universitys such as Penn and UMD

Portfolio v2

April 2024

• Made a simplistic portfolio website with a focus on minimalism.
• Attempted to have a single json file as the database.
• Highlight feature was system fonts and dark mode!

Model UN 2023-24

Dec 2024

• Awards:
• 🥈 2nd Place, University of Maryland, The British Raj
• 🥉 3rd Place, Thomas Jefferson, 3 Dynasties
• 🥉 3rd Place, Churchill, UNEP

PokeGenerator

Nov 2023

• Enter a topic and generate a Pokémon card within 20 seconds.
• Integrates Firebase for backend services.
• Uses OpenAI to power AI-driven card creation.
• Deployed with modern web technologies.

Smoke Pred Competition

Nov 2023

• Placed in the top 71st percentile on Kaggle.
• Prediction of smoker status using bio-signals.
• Used XGBoost and LightGBM models.
• Performed hyperparameter tuning with Optuna.

AI Taxi

Jul 2023

• Implemented a taxi simulator using reinforcement learning.
• Learned about state-action-reward dynamics and Q-Learning.
• Trained the taxi to optimize passenger pickups and drop-offs.
• Explored key concepts in artificial intelligence and decision-making.

flashAI

May 2023

• Learned TypeScript, React & Firebase to build an app for studying.
• Supports Google login and anonymous accounts.
• Includes authentication and restricted pages.

Chat CXT

Mar 2023

• Combined GPT with Google web scraping for up-to-date answers.
• Implemented content filtering and blocklist management.
• Developed custom examples and demos.
• Beta version for testing.

Totaled Cars

Jul 2022

• Built a car generator using DC-GAN principles.
• Created a super-resolution model to enhance low-res car images.
• Trained with adversarial loss on car image datasets.
• Applied advanced deep learning techniques for image generation.

First Lego League (FLL) - Year 2

May 2022

• Enhanced programming skills by building on previous year's experience.
• Implemented innovative solutions for complex challenges.
• Focused on teamwork and iterative design to optimize robot performance.
• Earned recognition for problem-solving and innovation in the state-level competition.

Apple WebPage Mockup

Jun 2022

• Created a visually accurate mockup for the iPhone 14 Pro.
• Learned basic HTML and CSS through practical application.
• Responsive design principles implemented.

Voice GPT-3

Feb 2022

• Verbal communication with GPT-3.
• Utilized speech synthesis for audio responses.
• Implemented with Python.

Resnet

Nov 2021

• Advanced CNN model for image classification.
• Based on the ResNet architecture paper.
• Implemented using TensorFlow and Keras.
• Optimized for large-scale image datasets.

First HTML Portfolio

Jun 2021

• Designed a personal portfolio with a responsive grid layout.
• Configured a custom domain and SSL certificate.
• Learned the basics of web hosting and domain setup.

First Lego League (FLL) - Year 1

May 2021

• Designed and programmed a robot using LEGO robotics kits.
• Completed various Cargo Connect challenges focused on logistics and engineering.
• Collaborated with teammates to refine robot design and strategies.
• Achieved 10th place out of 150 participants in the regional competition.

Pygame Gravity Sim

Feb 2020

• Developed a gravity simulation with Pygame.
• Implemented key features like resetting and reversing gravity.
• Learned basic physics and collision detection.
• Enhanced programming skills with Python.