- Location
- Edmonton, Alberta, Canada
- Bio
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I am a third-year computer science student at the University of Alberta with a passion for technology, problem-solving, and lifelong learning. Before transitioning to computer science, I worked in the oil and gas industry, where I held a leadership role, gaining valuable experience in decision-making, teamwork, and problem-solving in high-pressure environments.
I am highly motivated and eager to take on new challenges, always looking for opportunities to learn and grow. I have experience with a variety of programming languages and technologies, including Python, Rust, C/C++, TypeScript, and TailwindCSS. Additionally, I have built an Android app using Java and have some experience with C# from developing my Lunar Lander reinforcement learning environment.
I am particularly interested in systems programming, security, and AI but enjoy all aspects of computer science and I just want to learn, and so am ready to dive into anything. I enjoy solving challenging problems and building solutions that have a meaningful impact. I believe my background allows me to bring a unique perspective to technology, combining practical leadership skills with a deep curiosity for everything computers.
- Resume
- CV_2025.pdf
- Portals
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Vancouver, British Columbia, Canada
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- Categories
- Cloud technologies Security (cybersecurity and IT security) Software development Machine learning Artificial intelligence
Skills
Socials
Achievements
Latest feedback
Recent projects
Work experience
Language Data Annotator
Dataforce Transperfect
Vancouver, British Columbia, Canada
July 2024 - September 2024
• Evaluated and rated responses from AI chatbots for quality, relevance, and safety
• Developed and refined prompts for specific categories to test AI model capabilities
• Conducted comparative analysis of responses from different chatbot models
• Collaborated in a team environment to maintain consistency in evaluation criteria
Coding Data Annotator
Data Annotation
New York, New York, United States
January 2024 - September 2024
- Trained LLM's through RLHF
- Assessed code snippets generated by AI chatbots for correctness, efficiency, and style
- Evaluated the functionality and performance of AI-produced code
- Provided detailed feedback on code quality, including suggestions for optimization
Lead Operator
White Swan Environmental Ltd.
Red Deer, Alberta, Canada
June 2017 - August 2022
• Led a small team of operators, demonstrating leadership and communication skills
• Utilized spreadsheets for data entry and analysis of daily logs and operational totals
• Ensured regulatory compliance with AER guidelines for dangerous oilfield waste transport
• Implemented and improved safety protocols and procedures in a high-risk environment
Education
BSc Computing Science, Computer Science
University of Alberta
September 2021 - May 2026
Personal projects
F1-Telemetry
https://github.com/chris-vanderveen/F1-Telemetry• Developed an application to collect telemetry data from the F1 2023 video game via UDP packets.
• Technologies Used: Rust, JSON, Serde
3D Lunar Lander Reinforcement Learning Environment
https://github.com/chris-vanderveen/F1-Telemetry• Taking inspiration from the classic OpenAI Gymnasium reinforcement learning LunarLander environment, I
created a 3-Dimensional version of the environment for RL agents using the Godot game development engine.
• Tools Used: Godot, C#, Python
Conclave
January 2024 - April 2025
https://github.com/chris-vanderveen/DroidDesign• Software Engineering class project. Developed an event management Android application with user
authorization, geolocation services, and QR code functionality
• Technologies Used: Java, XML, Firebase, Android Studio