https://github.com/kclejeune/kclejeune

https://github.com/kclejeune/kclejeune

Last synced: 4 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/kclejeune/kclejeune
• Owner: kclejeune
• License: mit
• Created: 2020-11-23T08:01:04.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-07-20T20:26:17.000Z (over 2 years ago)
• Last Synced: 2024-11-14T07:11:34.433Z (about 2 months ago)
• Size: 3.91 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Hi, I'm Kennan.

## Personal Stuff

I started programming on calculators with TI-BASIC back in high school,

and I've been addicted ever since.

Outside of my studies, I'm an avid cyclist, musician, linux enthusiast.

Prior to college, I was an active competitor in the

Rubik's Cube speedsolving community. During the years when I was actively competing,

[my highlights](https://www.worldcubeassociation.org/persons/2013LEJE03) included a North American Record, 90 podium finishes,

and a top rank of 12th globally for the 3x3 Rubik's Cube.

## Academic Stuff

I recently earned my MS in Computer Science with my

thesis titled "Dynamic Structure Adaptation for Communities of Learning Machines".

In my work, I investigated knowledge propagation in networked learning systems,

and developed several dynamic optimization methods to accelerate the average learning

rate of agents in a network.

## Professional Stuff

Now, I'm a Software Engineer at the

Johns Hopkins University Applied Physics Laboratory, where I work on

machine learning research for automated biological threat

assessment and full stack software engineering with Angular, Java, and Kotlin.

Some of the tools I've used include:

- Python with Pandas, Scikit-Learn, Tensorflow, and Keras to design, train, and evaluate machine learning models to solve research problems

- Svelte, Angular, Vue for front end development

- Node.js, FastAPI, Python Flask for backend development

- Terraform, Ansible, and Nix for declarative cloud resource management

- UNIX scripting with `awk` and `bash` for task automation and prototyping data processing

- [NixOS](https://nixos.org) and `nix` package manager for fully reproducible deployment and [declarative system management](https://github.com/kclejeune/system)