Projects/Internships/Research!

QA Automation Engineering Intern @ Dispatch

This summer (summer 2025) I intered at a startup called Dispatch which serves as a last-mile delivery logistics platform. I spent my time in the QA team learning about automating mobile and web tests and how we can use AI to improve the process. I primarily trained an agent to convert legacy automation suites to use new frameworks (for mobile we went from Appium to Maestro and for web we went from Selenium to Playwright/Pytest).

Automating Playbook Generation

I am currently part of an AI and cybersecurity research project in CMU’s S3D. We are working with the MITRE D3FEND dataset and exploring how we can automate cyber defense playbooks using LLMs and solvers.

CMUEats

I am currently a tech lead of CMUEats, CMU’s student-run, one stop shop for all dining information. This team is part CMU ScottyLabs and CMUEats is the club’s most widely used web app. I am leading a team of dedicated students who are all adding their own features to the project. Future features include a review system, filtering by dietary restrictions, and integrating the different locations menus into the main site.

IIoT Intern @ General Mills

Summer 2024 I worked on the innovation team at General Mills. I expiriemented with different types of sensors and explored how they could be used to improve the manufacuting process inside of the General Mills’ manufacturing plants. I also used Grafana to analyze the live sensor data.

App Development Intern @ Minnesota Twins

Summer 2023 I worked as an app development intern at the Minnesota Twins. I used React, TypeScript, Prisma, and Tailwind CSS to create a CRUD functional app to help executives match different sales reps to ticket group types (i.e. matching John Doe to all tickets under some type of promotion). I also completed a few other tickets they had on some of their other apps and played around with GraphQL endpoints a little bit.

DiaBuddies

My team and I, Diabuddies, created a blood sugar management app specifically targeted towards children. The features included a game to learn more about diabetes, an info page with different quizzes and challenges, a blood sugar level tracker, and a tree which grew based on points earned for interacting with the app and having healthy glucose levels. Our project was TechnovationMN a winning app in 2024.

AgrID

Click here to view our Technical Video.

My team and I, Team Velocity, is created an app to identify diseases in crops using machine learning. A user takes a picture of a crop and our app will identify the disease (or if it is healthy) based on a classification performed by our machine learning model. Our project was a TechnovationMN winning app in 2023. I used React Native and JavaScript.