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About Me
TL;DR: ML Engineer @ TerraSense
Hey, I'm Reece! 👋
I'm a Machine Learning Engineer currently working at TerraSense Analytics. My interests and work lie in teaching computers about visual concepts in the real world. Currently, I'm focusing on training a computer to understand what something is and where it might be within a given image or video. During idle time, I like tinkering with Linux systems, dabbling in task automation, and exploring web technologies.
On this page you can find out a bit more about me, some of my past projects (mostly open source), and my other interests.
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Education & Awards
Bachelor of Science
Honours in Computer Science
Completed April 2020
UBC
Master of Science
Computer Science
Completed April 2023
UBC
University Graduate Fellowship
2021-2022UBC
University Graduate Fellowships (UGF) are awarded to
current graduate students at UBC who demonstrate competence
in their program, and are registered in a full-time thesis
based program at UBC. To be eligible for the UGF,
students must submit an annual progress report to the College
of Graduate Studies by June 1, and be nominated by the graduate
program in which they are registered.
UBC Graduate Dean's Entrance Scholarship
Sep 2020UBC
Graduate Dean's Entrance Scholarships (GDES) are based
on merit and offered to incoming full-time thesis-based
master's and doctoral students at UBC. Eligible students
must have an admission GPA of first-class standing.
Deputy Vice-Chancellor Scholarship for Continuing Students
2019-2020UBC
Granted to students who obtained an average of 90% or higher.
UBC Interdisciplinary Health Conference Top Honours
Nov 2019The UBC Interdisciplinary Health Conference
An award granted to the top poster within its category at the UBC Interdisciplinary Health Conference
Work Experience
Sessional Professor
UBC2023/01 - 2023/04UBC, Kelowna
- Taught COSC 315, a course on Operating System concepts and programming, to a class of 100 students.
- Revised and created new lectures, assignments, and examinations. C was used as the primary programming language for all course content.
Graduate Research and Teaching Assistant
UBC2020/09 - 2023/09Remote, Kelowna
- Engaged in teaching a variety of Computer Science labs and tutorials throughout my graduate degree. Courses I taught in include Capstone, Databases, and Parallel Computing.
- Applied machine learning techniques during my graduate research on topics involving image classification and few-shot learning.
System Architect, Contractor
UBC2021/05 - 2021/07Remote
- Designed the infrastructure behind AutoEd, a system that enabled the creation, submittance, and autograding of student-made ER diagrams.
- Collaborated with a team of 3 other programmers in the task of building AutoEd's core functionality.
- Configured a continuous deployment pipeline for the system using a self-hosted instance of GoCD and a Red Hat Linux VM.
- Leveraged knowledge in Docker, Traefik, JavaScript, and Python to successfully build AutoEd.
Machine Learning Researcher, Intern
Smart Labs Ltd., UBC2020/09 - 2020/12Remote
- Implemented, trained and tested 9 state-of-the-art few-shot learning techniques, 4 network backbones, and 3 model additions for human cell classification.
- Increased human cell classification accuracy by 2% and framerate by 10x over state-of-the-art techniques.
- Funding for this position was won through a MITACS Accelerate grant, jointly proposed by myself, Dr. Mohamed Shehata (UBC), and Dr. Mostafa Mohamed (Smart Labs Ltd.).
UBC Research Student
UBC2019/09 - 2020/08Remote
- Designed, programmed, and tested a novel data pipeline and algorithm for identifying sources of low-dose X-ray scatter.
- Collaborated with multidisciplinary team members to design and fabricate a camera capable of capturing low-dose X-ray data.
- Selected from a pool of over 300 other students to participate in a multidisciplinary undergraduate research project.
- Won “Top Poster” at the UBC Interdisciplinary Health Conference.
- Earned further summer funding as a result of research success.
Summer Research Student
Interior Health2017/04 - 2019/08Kelowna
- Engaged in quality assurance/control-based software design and research for imaging departments within BC's Interior Health Authority.
- Researched and deployed a system capable of detecting CT machine specification drift two weeks ahead of a human technologist. This research resulted in an oral presentation at the Canadian Organization of Medical Physics Conference.
- Designed and deployed an application for tracking X-ray machine errors and identifying outliers across the interior of BC.
Web Developer, Contractor
Various2017/09 - PresentBritish Columbia
- Designed, programmed, and deployed websites for various clients on a contractual basis. Services rendered also included hosting, email, and domain management. Projects ranged from professional athlete showcases to online art exhibit accompaniments.
Projects
NXBT
Control your Nintendo Switch through a website, terminal, or macro.
Utilizes: Python, JavaScript, HTML/CSS, Vagrant
Image Difference Segmentation
Generate masks and train segmentation models from image differences.
Utilizes: Python, PyTorch, Computer Vision Techniques
Simple Masker
A web utility for creating, editing, and saving binary masks for images.
Utilizes: JavaScript, Python, Flask, HTML, CSS, Canvas
BDSP Automation
Automation scripts for shiny hunting in Pokemon Brilliant Diamond and Shining Pearl.
Utilizes: Python, JavaScript, HTML/CSS, Video Streaming
Autumn Strawberry
An accompaniment website for Cindy Mochizuki's Autumn
Strawberry art exhibit at the Surrey Art Gallery.
Utilizes: JavaScript, HTML/CSS, WebGL Shaders
Fourier Transform Deconvolution
Deconvolve images with the Fourier Transform, given a kernel image and a convolved image.
Utilizes: Python
CTQA
An application for automated CT quality assurance.
Utilizes: Python
Whiteboard Vision
A project that aims to detect and transcribe text written on a whiteboard in a classroom environment.
Utilizes: JavaScript, HTML/CSS, Python, Docker
TagCite
A utility that aids in the organization of papers and citations through use of tagging, titling, and tag clouds.
Utilizes: JavaScript, HTML/CSS, Webpack, npm
Hardware & Software
Linux Server (pictured, self-built):
- OS: Pop!_OS
- CPU: AMD Threadripper 3970x
- GPUs: NVIDIA RTX 3090 x2
- OS: Windows 10
- CPU: Intel i7 7700
- GPUs: AMD Vega 64
Editor: Visual Studio Code
Terminal: iTerm2
Hobbies
Outside of computer-related activities, my favourite hobbies mainly involve the outdoors! Backcountry camping, skiing, and trail cycling are among some of the ways I most enjoy spending my time. You can see a few photos from my adventures above.
During quieter hours, I also like to draw and create short animations. Some of my recent animated work was accepted into the Annual Student Okanagan Film Festival.