About Me

I'm an undergraduate at Rice University studying Electrical and Computer Engineering with broad interests. I'm passionate about building accessible, user-friendly digital experiences and conducting research to create meaningful impact.

Currently, I'm focusing on machine learning, web development, and data analysis. My work combines thoughtful design with robust engineering, creating experiences that not only look great but are meticulously built for performance and usability. I am open to any interesting opportunities or ideas, so feel free to reach out!

Technologies I work with:

  • JavaScript (ES6+)
  • Pytorch
  • React
  • Next.js
  • Node.js
  • Python
  • TensorFlow
  • HTML & CSS
  • MATLAB
  • Three.js
  • GSAP
  • Git

Things I've Built

Team Coinflip: Travel Fatigue and Performance

Analyzed the impact of MLB team travel schedules and fatigue on in-game performance using exploratory data analysis, a custom ELO ranking system, and an XGBoost model, finding little evidence that fatigue affects performance; the project placed 2nd at the 2024 Rice Datathon.

PythonPandasNumPyFoliumXGBoost

Portfolio Website

Personal portfolio website built with modern web technologies featuring Three.js effects, GSAP animations, and responsive design.

ReactNext.jsThree.jsGSAP

Klix: A Dual-AI Implementation for Automated Business Calls with Parallel ML Engines

Klix is a dual-AI call automation platform that manages phone calls via conversational agents, providing real-time transcription, quality evaluation, and insights—eliminating time-consuming manual tasks..

FastAPIthree.jsPostgreSQLTailwind CSSHTML/CSS

In Progress: Baby GPU

Baby GPU is a simple GPU built in verilog that goes over the functioning of GPUs from the ground up.

verilogFPGAGPUComputer Architecture

Academic Leadership

Workshops Lead

Rice Datathon 2025 Aug 2024-Jan 2025

Organized and led workshops on data analysis, machine learning, and data visualization for 200+ participants. Developed and presented a workshop on exploratory data analysis and data visualization using Python, Pandas, and Matplotlib.

Data AnalysisData VisualizationMachine learningWorkshop Development

DEEP Mentor

DEEP Mentorship Program - Rice D2K Lab Aug 2024 — Present

Led and trained a team of 20+ in foundational data analysis and machine learning skills, managing a project that analyzed real-world housing prices using Jupyter, Pandas, NumPy, TensorFlow, and scikit-learn to develop a predictive model and present the results..

LeadershipProject ManagementMentoringTeam Management

Lead Reviewer

Rice Stem Students on the Rise Spring 2025

Reviewed and provided feedback on 50+ research papers submitted by high school students for the annual Rice Stem Students on the Rise conference. Evaluated papers based on clarity, originality, and scientific rigor.

Event PlanningMentoringReviewFeedback
Built with Next.js, Three.js, and React. Animations powered by GSAP.