Tobias Beidler-Shenk
Education
Bachelors Degree, University of Pittsburgh

3.9 GPA - Computer Science & Math

2021 Aug – 2025 MayPittsburgh, PA

Relevant Coursework

Data Structures & Algorithms I & II, Software QA, Systems Software, Operating Systems, Functional Programming, Cloud Computing, Cryptography & Network Security, Data Science, DBMS

Work Experience
QA Automation Intern, WebstaurantStore
  • •Wrote automation scripts to test storefront and admin pages, using Groovy and Selenium
  • •Wrote SQL queries to fetch appropriate test data from database tables
    • 2024 May – presentRemote
  • •Wrote unit tests for shared classes used in automation scripts
  • •Monitored nightly runs of automated tests, communicating with developers about bugs
    • Software Engineering Intern, Innovative Systems
  • •Built a multi-threaded ETL tool, transforming & validating records from many file formats
  • •Developed an API to extract core functionality, complete with unit & integration tests
    • 2024 Jan – presentPittsburgh, PA
  • •Built a plugin system for custom operations to be dynamically loaded & executed
  • •Thoroughly documented work for continued development of the software
    • Undergraduate Teaching Assistant, University of Pittsburgh, School of Computing and Information

    Held recitations & office hours for 30~ students for multiple courses

  • •CS 11 - Intro to Programming (Python)
    • 2022 Aug – 2023 Dec
  • •CS 401 - Intermediate Programming (Java)
  • •CS 449 - Intro to Systems Software (C)
    • Software Engineering Intern, Dynamics Inc.
  • •Planned, developed and tested the frontend & backend for an internal database application
  • •Implemented CRUD operations on the database & server side sorting, filtering, pagination
    • 2023 May – 2023 Aug
  • •Worked with .NET & WPF frameworks, programming in C# and SQL
  • •Submitted pull requests, received code reviews, and demoed work regularly
    • Projects
    HotRound, Ratings Estimator for 10,000+ disc golf courses
  • •Used Selenium to scrape data from sanctioned PDGA tournaments
  • •Implemented clustering of similar layouts using SciPy
    • 2024 Sep – 2025 Jan
  • •Implemented as a web app with Flask, ReactJS as well as a Discord bot
  • •Deployed applications using Docker, Heroku
    • Cinect, Final Class Project for Cloud Computing
  • •Delivers movie recommendations using a KNN clustering algorithm
  • •Driven using data from a group of users on Letterboxd, a film review site
    • 2024 Feb – 2024 Apr
  • •Utilized GitHub Actions to automatically deploy to GCP services.
  • •Built with ReactJS, Flask, Firebase and Cloud Run
    • Lost @ Pitt, SteelHacks 2023, Pitt Big Idea Competition 2024
  • •A multi-platform application that allows users to track lost items around campus
  • •Second place at SteelHacks 2023
    • 2023 Mar – 2024 Apr
  • •Finalist at the Pitt Big Idea Competition 2024
  • •Built using Flutter, Dart and Firebase
    • Skills

    Languages

  • •C#, C, Java, Groovy, Python, JavaScript, Dart, SQL, Haskell, Bash

    • Frameworks & Libraries

  • •.NET, WPF, Flutter, React, Flask, JUnit, xUnit, Selenium

    • Development:

  • •Git, Agile Methodology, Object-Oriented Development, Firebase