timeline

☂️ Travelers Insurance

June 2024 - August 2024

Data Analytics Intern, BI&A

▪ Constructed 10+ pricing application traffic data reports with SQL and Python, enhancing information accessibility for underwriters, and pioneered the first Jupyter notebook for extracting data with complex delimiters.
▪ Led department-wide discussions to automate Qlik scripts standardizing the look and feel for 30+ applications, reducing manual UI processing times by 50%; facilitated daily stand-ups for a 9-person team.
▪ Redesigned Qlikview dashboards to improve clarity and accessibility of visualized statistics on commercial surety data.

project snapshot

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.

project snapshot

🏌🏻‍♀️ 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.

project snapshot

🍳 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.