About

I'm a Cornell student pursuing a bachelor's degree in Computer Science with a minor in Artificial Intelligence. I've interned at NASA, Biostate AI, and Alpheva AI, gaining experience in software engineering, AI research, and fintech. I'll be in San Jose this summer interning at Cisco (Splunk). I'm always excited to learn new things and meet people doing interesting work, so feel free to contact me and we can connect!

Experience

4 roles
Summer 2024

NASA→Software Engineer Intern

I worked on Python software for a laser-based wireless power transfer proof-of-concept between satellites in orbit. I led a small team and focused mainly on two things: building a computer vision algorithm in OpenCV to track a laser point in real time, and writing IMU-based software to help stabilize the satellite's orientation. At the end of the internship, I presented our results, including ~98% laser-aiming accuracy, to over 100 NASA engineers and scientists.

  • Python
  • OpenCV
  • Computer Vision
  • IMU
  • Robotics
2024 – 2025

Alpheva AI→Product Analytics & Engineering Intern

I worked on both the product and analytics side of a fintech app. I built a React Native Reports dashboard with cash-flow visualizations and category-level spending breakdowns that help users better understand their finances and save an average of about $6,500 per year. I also helped create investor pitch decks that were used in securing partnerships with companies like OpenAI, Google, and Amazon, and supported go-to-market efforts by analyzing competitors, making product demo videos, and reaching out to roughly 1,000 venture capital investors.

  • React Native
  • Product Analytics
  • Fintech
  • Data Viz
  • GTM
2024

Biostate AI→AI Research Intern

I worked in a human-in-the-loop machine learning research workflow, where I reviewed AI-generated analyses, validated statistical results, fixed figures, and edited LLM-generated manuscript drafts. I used CNN-based analysis and LLM tools to study immunology datasets involving CD8⁺ PD-L1⁺ immune cells in murine models. I also co-authored more than five AI-assisted research papers that were submitted to peer-reviewed journals, including Genome Biology.

  • CNN
  • LLMs
  • Bioinformatics
  • Research
  • Python
2022 – 2023

TJHSST Computer Systems Lab→Student Systems Administrator

I was selected as one of eight students to help maintain my school's IT infrastructure, including dozens of workstations, servers, and internal tools. As the Documentation Co-Lead, I wrote over 50 pages of technical documentation to make sure future students could maintain and understand the system.

  • Linux
  • Sysadmin
  • Documentation

Projects

4 selected
01

wE-Study→Collaborative Online Study Platform

I designed and built a full-stack web platform that helps students organize and coordinate study sessions. I used HTML, CSS, JavaScript, and SQL, and set up a relational database with phpMyAdmin to manage users, sessions, and authentication securely.

  • HTML
  • CSS
  • JavaScript
  • SQL
  • phpMyAdmin
02

4Sight→Insider Trading Monitor

I built a Python-based tool that scrapes SEC Form 4 insider trading filings using the EDGAR API. On top of that, I added an NLP model that analyzes insider trades alongside recent news to generate possible explanations for trading behavior.

  • Python
  • NLP
  • EDGAR API
  • Web Scraping
  • Finance
03

T-REX→Tunable-Resonance Electricity eXperiment

I helped prototype a floor tile that generates electricity from mechanical and sound energy using piezoelectric materials. I also built an AI model that predicts environmental conditions and adjusts applied pressure on the tile to improve energy output.

  • Hardware
  • Piezoelectrics
  • AI
  • Energy
04

SkIntel→AI Skin Cancer Detection App

Under the mentorship of an MIT PhD student, I built a convolutional neural network in Python that detects skin cancer from lesion images. The model works with smartphone-quality photos and achieved an AUC score of 0.93. My team and I presented the project to an audience of over 150 people.

  • Python
  • CNN
  • Computer Vision
  • Healthcare