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Devon_Knight_resume.txt
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Devon Knight
devon.donald.knight@gmail.com (647) 920-3519 linkedin.com/in/devonknight github.com/Devcon324
Education
University of Ottawa – B.A.Sc. Software Engineering (Co-Op) Graduating 2026
CGPA: 92.5% | Coursework: Databases, Data Structures & Algorithms, Operating Systems, PC/CPU Architecture
Volunteer: 2024 Dragonboat World Athlete, 7 Scholarships, SWE Class Rep, Engineering Director, Sponsorship Director
Professional Experience
Royal Bank of Canada – Machine Learning Engineer Intern Toronto, ON, Canada, 09/2024 – 12/2024
* Created 3 Gen AI Products using OpenAI, Anthropic, Meta Large Language Models in an Agile/Scrum team
* Built a 500k client Geolocator with 91.96% accuracy, saving 17k days of labor using A/B tests, Python & FastAPI
* Developed a financial analyst app with Python, FastAPI, CrewAI (Llama 70B), Vite, & React to enhance workflows
* Implemented a RegEx Algorithm & analyzed HereAPI, Google API’s & LLM’s leading to a +37% in precision
* Optimized storage & retrieval of AI models on using SageMaker, Qdrant, ChromaDB, & Pinecone
Royal Bank of Canada – DevOps Engineer Intern Toronto, ON, Canada, 01/2024 – 04/2024
* Developed a key feature & unit test to reduce caching libraries to improve developer build times using TypeScript
* Achieved a 15% faster build & deploy time by automating manual build tasks with Gradle, Groovy, & Kubernetes
* Deployed GitHub Runners using Docker containers on Kubernetes & OpenShift for improved scalability
* Spearheaded a DevOps Dashboard using Splunk & Elasticsearch that tracked 400+ engineers across 53+ teams
* Built & managed a new CI/CD pipeline to build & deploy apps with Gradle using YAML & GitHub Actions
Ciena – Software Developer Intern Ottawa, ON, Canada, 05/2023 – 12/2023
* Led a production server upgrade across 47 microservices for Google, Amazon, Twitch, Meta, & Microsoft clients
* Built 17 tests for Database Migrations with Python, PyTest, & MongoDB catching 12+ errors in 100 milliseconds
* Developed 34+ Features across 21 Bitbucket repositories using C, Python, JSON, UNIX/Linux, Bash, & Git
* Optimized server networks in C/C++ by resolving 3 memory leaks, Transceiver profiles, Remote Procedure Calls
University of Toronto – Machine Learning Research Assistant Toronto, ON, Canada, 05/2019 – 09/2022
* Conducted data-analysis from 28 patients using Python, Microsoft Excel & R-Studio with weekly data-reports
* Co-led a clinical study that used Felix AI ML to advise patients showing 83% improved patient outcomes
* Co-authored a peer-reviewed publication on ML application in post-operative recovery, cited 25+ times in the field
Skills
* Proficient: Python, Agentic AI, FastAPI, Java, Git, UNIX/Linux OS, ReactJS, Kubernetes, NoSQL, NodeJS, NextJS
* Experienced: Bash, Shell, ReactNative, JavaScript, TypeScript, C/C++/C#, MongoDB, SQLite, Kubernetes, Docker
* Familiar: SageMaker, Android, GitHub Actions, Runners, Jenkins, Maven/Gradle, R, AWS, Spring, Splunk, Firebase
Leadership
uOttaHack – Director 06/2022 – 05/2023
* Managed 30+ organizers to host a Hackathon of 800+ students, 40+ repositories 30 mentors & 25+ companies
* Developed the Official site, LiveSite & uOttaApp, while maintaining over 20 repositories (webapps, API, CI/CD)
* Led 13 events for a community of 800+ with reps from Groq, Apple, Microsoft, Google, Solace, & Trend Micro
uOttaHack – Advisor 05/2023 – Present
* United Canada, Hong Kong & Mexico STEM universities by spearheading an International Partnership
* Led as the primary liaison for executives which increased company partnerships by 77.8% & funds by 36.3%
* Raised over $68,000+ yearly & grew the hackathons marketing to 2.4K followers & 44.8k views
VaporWare Games – Co-Founder 01/2024 – Present
* Developed a 2D horror game using Godot Engine, GDScript, C#, Python, & Aseprite to implement features
* Collaborated with art designers to craft immersive atmospheres & storytelling elements within the Godot Engine
Projects
Co-Medical – University of Toronto Hacks 11 github.com/uOttaHackUofT/Co.med
* Built an AI hospital triage web app using Python, Cohere LLM, & Next.JS to streamline emergency rooms
* Utilized LLM Classify as a supervised learning analogue to provide diagnosis, prognosis, & triage with citations
uOttaApp – Smartphone Event Tracker github.com/Devcon324/uOttaApp
* MERN Stack Mobile WebApp used by 2000+ hackers at our events, leveraging Next.js, Firebase & Expo
* Managing 700+ users at once, tracking event statistics on a user-friendly UI/UX enhanced by SCSS/CSS
uOttaHack Website – uOttaHack Main Websites (2023/2024/2025) 2023.ca / 2024.ca / 2025.ca
* Using various React libraries & Embeds in order to maximize site efficiency & appeal
* Using Next.js to implement Dynamic Data Fetching for a backend leading to expeditious release/update times
* Maintaining & updating onsite sponsors & advertisement that led to $68,000+ of funding & & 200+ daily visits