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'm interning at Cisco (Splunk) this summer. 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

5 roles
Summer 2026

Splunk (Cisco)→Software Security & Automation Engineering Intern

I'm interning on the security and automation engineering side of Splunk. I built an MCP tool that normalizes freeze and scheduling data so agents can figure out maintenance time blocks across more than 15,000 stacks, and I cut query latency by about 100ms on Splunk's source of truth by replacing an HTTP cache with direct Redis access in Go. I also rolled out cybersecurity and code-style standards across 15+ repositories to improve the quality of AI-generated code.

  • Go
  • Redis
  • MCP
  • Security
  • Automation
2025 - 2026

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
Fall 2025

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
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
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

7 selected
01

Baya→AI-Powered Interior Design Platform

I built an AI interior design platform that combines Claude with four fal.ai image models to turn a single photo of a room into photorealistic redesigns, chaining up to seven sequential edits while preserving the room's architecture and linking to real products you can buy. Under the hood I added cross-provider fallback (Claude Sonnet ↔ Haiku and fal.ai ↔ Replicate), distributed concurrency control with Upstash, and a pgvector product-matching system seeded from the eBay and Amazon APIs.

  • Claude
  • fal.ai
  • pgvector
  • Upstash
  • AI

live site ↗

02

Drizzle→Autoimmune Disorder Social Network

I built a full-stack, cross-platform social media app for people living with autoimmune disorders using React Native and Next.js. It includes Supabase Auth with OAuth, real-time messaging, fine-grained privacy controls, push notifications, infinite-scrolling feeds, and Cloudflare R2 image uploads with cloud-backed synchronization.

  • React Native
  • Next.js
  • Supabase
  • Cloudflare R2

app page ↗

03

4Sight→Insider Trading Monitor

I built a Python-based tool that scrapes and parses SEC Form 4 insider trading filings using the EDGAR API, tested across 50+ tickers. On top of that, I added an NLP model that analyzes insider trades alongside global news to generate possible explanations for trading behavior.

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

live demo ↗

04

T-REX→Tunable-Resonance Electricity eXperiment

I helped prototype a floor tile that harvests electricity from foot traffic and ambient sound using piezoelectric crystals, reaching roughly 1.4 mW per step per dollar - over 30x more cost-efficient than competing drum-harvester designs. I also built an AI resonance-tuning system that predicts ambient vibration and sound frequencies and adjusts pressure on the crystal through a motorized brace to keep the tile near peak resonance for maximum output.

  • Hardware
  • Piezoelectrics
  • AI
  • Energy

CAD model ↗

05

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

live demo ↗

06

Marrow→Scroll-to-Learn iOS App

I built an offline iOS app that turns learning into a vertical-scrolling feed of educational cards spanning computer science, finance, math, and science. Using Expo, TypeScript, and NativeWind, I wove an SM-2 spaced-repetition scheduler invisibly into the scroll so you recall ideas you saw weeks ago, with all progress persisted on-device in SQLite. The app runs entirely offline with no backend, accounts, or network calls, shipping a hand-reviewed corpus in the app bundle.

  • React Native
  • Expo
  • TypeScript
  • SQLite
  • iOS

app page ↗

07

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

live site ↗