Payton Pei
AI applications and developer tools · Master’s expected Dec 2026 · Seeking roles in Ottawa
About
Systems Science and Engineering master's student at the University of Ottawa, graduating December 2026. Software engineer building and fine-tuning AI systems with Python, PyTorch, Rust/Tauri and TypeScript/React; published LifeMint on the App Store. Former Nokia and Ford intern seeking new-grad AI and developer-tools roles in Ottawa.
Projects
GaokaoTutor — LLM Fine-Tuning & Evaluation
pipi-shrimp-agent
Conveyor
Réussir en français — TCF Canada Prep Platform
LifeMint (formerly Focus Mint)
Resume Generator
Kanjo
Work Experience
Nokia Canada
Ford Motor Canada
Education
University of Ottawa
Carleton University
Research
Low-Light RAW Image Restoration with Bridge U-Net and DDBM
Skills
GitHub Contributions
Selected Coursework
Completed graduate coursework at the University of Ottawa.
Selected Coursework (8)
Cyber Security Systems and Strategies
Security principles and risk frameworks for protecting users, data, and networks, covering authentication, access control, encryption, public-key infrastructure, and security in wireless, cloud, and IoT environments.
Official course descriptionFoundation of Modelling and Simulation
System modelling and the simulation process, including continuous and discrete-event simulation, numerical solution of ordinary differential equations, random variates, validation, quality assurance, and simulation languages.
Official course descriptionSystems Optimization and Management
User-requirements analysis, model design, data mining, optimization software, and systems thinking applied to the modelling, simulation, optimization, and management of economic and hierarchical systems.
Official course descriptionEconomic System Design
Systems thinking for economic and complex systems, covering hierarchical systems, simulation and behaviour, soft systems thinking, and interdisciplinary applications.
Official course descriptionMobile Commerce Technologies
Architectures and applications for wireless and mobile commerce, including electronic banking, digital cash, wireless exchanges, business models, mobile networks and routing, content presentation, security, standards, protocols, and case studies.
Official course descriptionAffective and Persuasive Computing
Human affect models, AI-based affect estimation, multimodal fusion, persuasive technologies, persuasion design, serious games, and open challenges in affective and persuasive computing.
Official course descriptionSystems Integration
Planning and design of complex systems across continuous and discrete time, with systems-methodology synthesis, state estimation, parameter identification, discretization, stochastic effects, dynamic and logic control, and discrete-event simulation.
Official course descriptionFoundations and Applications of Machine Learning
Machine-learning capabilities and limitations, problem formulation, supervised and unsupervised techniques, model deployment, monitoring and evaluation, communicating results, and current applications across business, law, arts, social sciences, and education.
Official course description