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Christopher Bruinsma

Welcome to my Github, my name is Chris Bruinsma. I am a Hajim School of Engineering Graduate and a former Lockheed Martin RMS intern on the AN/ALQ-217 program and now a Software Engineer at Raytheon Technologies I am well versed not only in good programming but also in the project lifecycle. As an intern I learned to take advantage of tools like JIRA and Bitbucket as well as other Agile Project Development tools. I learn quickly and actively in many fields. I find that this is the way to develop more creative ways to solve problems.

I also have an inate ability to capture in an image just about anything and have done projects in imaging that have ranged from imaging sound to imaging air. Imaging air used Schlieren imaging and imaging sound employed a home-made oscilliscope using Saran wrap, a mirror fragment, and a laser.

I have knowledge of several programming languages as well as an eye for detail and design. My work in research has included time working under Dr. Yuhao Zhu in the field of machine vision, Dr. Gregory Heworth of the Lazarus Project for Generative Neural Networks, and most recently for Dr. Anson Kahng in the field of Game Theory.

My most exciting coding projects have been the following. For academic honesty reasons some of this code is private.

Languages

Python

  • Personal Assistant Madcap using OpenAI's GPT3.5 fun

  • Demosaicing Algorithm for Bayer Array Images CSC 292/572

  • Automating a Heat Gun and Camera Setup Independent Study [CSC 391]

  • Coffee Language Processor Using NER through spaCy CSC 212

  • Film Chromaticity Diagram Diagram GUI CSC 292/572

  • Indenpendent Study of Neural Network Implementations for Images with Thermal Noise CSC 391

  • Facial Tracker Implementation using OpenFace AI CSC 212

  • K-Means Clustering Implementation CSC 249

  • CNN Experiementation in Image Style Transfer in AdaIn and GATYS CSC 249

  • Kernel PCA vs. PCA Experimentation Test Bench for Cultural Heritage Objects for Lazarus Project CSC 249

  • Generative Adversarial Neural Networks for Cultural Heritage Object Recovery CSC 249

  • Queue Cost Analysis for Starbucks In-Person Vs. Virtual CSC 289

  • CoffeeGPT3+ and Coffee LSTM Models Fun

Java

  • Shunting Yard Algorithm CSC 172

  • Huffman Encoding Algorithm CSC 172

  • Map-making and Djikstra's Algortihm CSC 172

  • Collatz Conjecture Recusion Practice

  • Concentration Calculator For Fun

  • Recursive Make Change Calculator CSC 172

  • Linear Classifiers for Logistic and Perceptron Classification CSC 242

C

  • DFA and NFA Implementations CSC 173

  • Database Model CSC 173

  • Circuit Simulator CSC 173

  • Collatz Conjecture Recusion Practice

MATLAB

  • Derivative Calculator OPT 212

  • 3D Wave Interference Generator OPT 212

  • RBG - CMY Color Mixer OPT 212

  • Diffraction Simulator OPT 211

  • RGB Chromaticity Diagrams of Kodak Films CSC 292/572

  • Image Filtering Experimentation and Fourier Transforms CSC 249

Lisp

  • Lisp Basics Sets, Lists, Maths CSC 173

  • Knowledge Base Question Answering CSC 191

  • Rule-Based Inferences and Question Answering CSC 191

Kotlin

  • Flight Tracker Application using FlightAware's AeroApi -> Here

Flutter

  • Front end to the the Coffee Language Processor for my team's Inference API CSC 212

SQL

  • Athlete Database CSC 261

PHP

  • Linkage between from and back end for Athlete Database CSC 261

HTML + JS

  • Implementation of Google Speech to Text API to do the following: CSC 212
    • Words per minute calculation
    • Automated Call Center execution
  • Database front end CSC 261

Noteworthy Others

  • C++ for CSC 292/572

  • R for STAT 213

  • Swift for a Hackathon and personal projects

Fun Facts

  1. My favorite IDE color scheme is Ayu Dark Boardered

  2. My pre-code drink is the Brown-Sugar-Oatmilk Shaken Espresso

  3. I am actually a Starbucks Coffee Master

Christopher Bruisma's Projects

lazgan icon lazgan

Python tools for processing images from multispectral data of cultural heritage artifacts

openface icon openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

pytorch-adain-csc249 icon pytorch-adain-csc249

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

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