Trent Fridey

Summary

Experienced software engineer with 5 years in front-end development who has a background in data science. Familiar with modern web development including frameworks (React/Vue), Agile SDLC, integration with RESTful APIs, unit testing, and collaborating efficiently with UI/UX designers and backend developers to bring products from prototype to implementation and deployment

Experience

• Software Engineer III

  ArcherDX, Integrated DNA Technologies

  May 2023 - Present
• Developed an interactive graphical interface using React and Plotly.js to facilitate exploration of results from bioinformatics pipeline.
• Re-architected Archer Analysis, Django-based web app to a React-based single-page web app to expedite development of new bioinformatic pipelines.

• Software Engineer

  Google Summer of Code

  May 2023 - Aug 2023
  • Developed a web-based virtual lab for the Quantum Toolbox in Python (QuTiP), a Python package for simulating open quantum systems, using React and WebAssembly.

• Software Engineer II

  NoiseAware

  June 2022 - Feb 2023
  • Architected and implemented a Node.js microservice to generate easy-to-understand PDF reports of customers' IoT sensor data

• Data Scientist

  NoiseAware

  Jan 2022 - June 2022
  • R&D of Crowd Detection Algorithm: Developed an algorithm using Python (scikit-learn, statsmodels, Prophet) to infer the presence of crowds based on IoT sensor data, in order improve NoiseAware's core value proposition of remote monitoring of short-term rental properties.
  • Sensor Life Optimization: Analyzed IoT sensor battery data using SQL (AWS Athena) and Python (Dask) and determined optimal time to alert customers to replace sensor batteries.

• Frontend Developer

  NoiseAware

  Feb 2018 - Dec 2021
  • Web Dashboard: Implemented main web application for the NoiseAware IoT cloud using React, Vue, HTML, CSS & RESTful APIs; served 300K user sessions over 2 years.
  • E-commerce Front-end: Implemented using React, Stripe, and Google Analytics to facilitate > $100K in sales.
  • Component Library: Developed web-component library using React and Storybook for re-use throughout NoiseAware web apps; implemented CI/CD with GitHub Actions to package and distribute code.
  • Automated End-to-End Testing: Wrote unit and integration tests with Cypress to prevent regressions in the web dashboard.

• Quantitative Analyst

  The Fellowship of Catholic University Students

  Jun 2015 - Aug 2015

• Research Assistant

  JILA / University of Colorado-Boulder

  Jan 2014 - Dec 2014

Education

• M.S. in Business Analytics, Data Science Track

  University of Texas at Dallas

  June 2022 - Feb 2023

  Richardson, TX

  Courses: Statistics & Data Analysis, Prescriptive Analytics, Applied Econometrics & Time Series Analysis, Big Data Analytics

• B.A. in Physics, Magna Cum Laude, Minor in Mathematics

  University of Colorado-Boulder

  Aug 2011 - Dec 2014

  Boulder, CO

  Honors Thesis: Spin Squeezing. Supervisor: Dr. Ana Maria Rey

Skills Summary

• Languages: JavaScript/TypeScript, HTML, CSS, Python, Rust
• Platforms: AWS, Netlify, GitHub
• Frameworks: React, Vue, Redux, Vuex, XState
• Libraries: Material-UI, Chart.js, D3.js, NumPy, Matplotlib, Plotly
• Tools: Git, Webpack, StoryBook, Jupyter Notebooks, Pandas

Projects

• Blog: Personal blog on analytical topics. Built with Vue, FaunaDB, GraphQL, and Hugo. https://blog.trentfridey.com
• Sunsettr: Mobile app displays the time the sun sets at the user's location. Built with React Native and Typescript.

Honors and Awards

• Phi Beta Kappa (ΦBK): Inducted to the collegiate honors society Dec. 2014
• Sigma Pi Sigma (ΣΠΣ): Inducted to the physics honors society Dec. 2013