Kaela Polnitz

About Me


Hello, everyone! My name is Kaela Polnitz and I am a UCLA graduate, class of 2020! I left with a degree in Mathematics of Computation (Math + CS). In my free time, I love to program (big surprise), play basketball, juggle, and create Spotify playlists! Want to know more? Have any song recommendations? Feel free to contact me!

Experience


Microsoft - March 2021 - Present

I am currently a Software Engineer on the Microsoft Teams team.

Microsoft - September 2020 - March 2021

I worked as a Technical Consultant in the Azure, Cloud, & AI Domain helping create and develop technology solutions for clients.

MLH Fellowship (Powered by Github) - Summer 2020

I actively contributed to Open Source software, under the guidance of maintainers and mentors.

AT&T Entertainment Group - Summer 2018, Summer 2019

For two summers, I was a software development intern that worked under DIRECTV's Operations branch.

Harris Corporation - Summer 2016

Worked as an Environmental Health and Safety Intern in NASA's Deep Space Network.


Projects


Glider

Glider is an open-source project developed by Adafruit that I was able to work on during the MLH Fellowship. This React Native app allows CircuitPython developers to make changes to Adafruit hardware wirelessly from a mobile device via Bluetooth Low Energy technology. I contributed by adding new features to this app (dark mode, search bar, etc.) and fixing some existing bugs. A demo of the app can be found here and the code can be found here.


Sweeger

Sweeger is an open-source tool that was developed during the MLH fellowship halfway hackathon. It is a solution that aims to keep future fellows up-to-date with their favorite skills and programming languages. After signing up for the service, the user can receive article and video suggestions based on their technology interests. We used BeautifulSoup, Javascript, Python, and Firebase to bring this project to life. You can find more details about this project through our presentation here and its Github repository can be found here.


Moody Music

This project was developed with MLH fellows during our fellowship kickoff hackathon. This project will create Spotify music suggestions based on your visible mood. We used Spotipy, OpenCV, and KerasML for song metrics and mood tracking. You can see our presentation on this project here and our repository can be found here.


Deadline

Deadline is an event-driven scheduling tool that I created during my internship at AT&T during the summer of 2018. A user may send schedules to the server that listens for expected events and notifies the user if the event has been missed. For more information, you can take a look at the Open Source project here.


Personal Terminal

This is a project that I have been working on during quarantine. It is a terminal-themed version of my personal website. It can be found on the navigation bar.