timeline

🐕 Datadog

June 2025 - August 2025

Full Stack SWE Intern, Incident App

At Datadog, I dove into the intersection of reliability and developer experience as a Full-Stack SWE Intern on the Incident App team in NYC.

I redesigned Jira follow-up exports from the Datadog app to support up to 50 personalized templates per organization incident type—with dynamic variables and auto/manual export controls—so teams get the right ticket, in the right place, without copy-paste cleanup. I also built one-way sync from Datadog follow-ups to Jira and migrated our Slack modal workflow from a deprecated repository to a newer repository with better DevOps, paving the way for template selection directly in chat.

Beyond the features, shipping on a live incident platform taught me to design for niche remediation paths, navigate architecture pivots, and think from the customer’s perspective. I made some valuable connections and friends that I’ll miss here!

☂️ Travelers Insurance

June 2024 - August 2024

Data Analytics Intern, BI&A

At Travelers, I gained invaluable insights into the intersection of technology and business strategy - an intersection of fields I have always wanted to work in. Working on projects that involved constructing detailed pricing application traffic reports using SQL and Python, I not only honed my technical skills but also developed a deeper appreciation for how data-driven solutions empower decision-making. Like in the pictures below, I additionally learned many new things about the insurance industry that I previously did not know, in addition to connecting with a welcoming intern and office community.

next song pls!

July 2024 - August 2024

To accompany my passion for DJ-ing, I developed a TypeScript/HTML/JavaScript-based website utilizing AWS cloud services (EC2, CloudFront) and the Spotify API to create a more personalized recommendation system based on user-selected qualities (danceability, key, BPM, etc.) in addition to providing in-depth song details through search.

🏌🏻‍♀️ CaddieAI

January 2024 - May 2024

Project manager and full-stack developer on CaddieAI, an iOS application designed to predict ball velocity, backspin, and trajectory from golf swings using object detection.

🗳️ Presidential Candidate Predictor

April 28, 2024 [Hackathon]

Utilizing BERT-based sentiment analysis on tweets to predict 2020 election outcomes, me and a team at Cornell Data Science used EDA and a pre-trained model to predict state-by-state winners based on sentiment.

🍳 Munch

September 2023 - December 2023

Working as a front-end developer on Munch, an app that detects macronutrients in photos, I developed the Swift application backbone to be integrated with machine learning and backend elements.

🚦 Function Bay, Inc.

June 2023 - August 2023

Software Engineering Intern

Utilizing PyTorch, YOLOX (trained on a COCO dataset), and Unity, I was able to connect an object detection model to the company’s physics software, Recurdyn, which is used for CAD products and virtual testing.

The second video shows the final product: a camera attached to a car detecting typical street objects in a suburban Unity environment.

🐱 Exploding Kittens

With Cornell peers, I developed a terminal-based version of the game Exploding Kittens in OCaml, and am working on an interactive front-end gameboard using the Bogue GUI.

🩻 Canny Edge Detection

Developed a simple edge detection model using Canny edge detection to accurately isolate image outlines from inputted images.