CV

Education

• B.S. in Mechanical Engineering, University of Toronto, 2024
  • Minors: Robotcs, AI

Work experience

• Fullstack Engineer — TBA: May 2025 – Present
  • Architected and developed a comprehensive full-stack platform managing a modular monorepo to enable rapid delivery of a responsive web app (React, TypeScript, Tailwind CSS), cross-platform mobile app (React Native, Expo), and centralized API, reducing feature development time by 40%
  • Ensured application reliability and streamlined development lifecycle by containerizing the stack with Docker and implementing multi-layered testing strategy with Playwright and Vitest, improving CI/CD pipeline efficiency by 30% and reducing production bugs by 25%
  • Implemented secure authentication and authorization system to protect API endpoints and manage user access control
• Web Developer — RLDataCoach: March 2025 – Sept 2025
  • Built responsive WordPress site for Rocket League Coaching using HTML, CSS and JavaScript with Flexbox and CSS media queries
  • Integrated interactive elements including custom iconography and performance-optimized images, improving page load times by 30%
  • Collaborated with stakeholders to translate data-analytics requirements into front-end designs through rapid prototyping and user testing
• Pipeline Developer Intern — SpinVFX: May 2022 – Sept 2023
  • Designed and deployed scalable pipeline solutions supporting 200+ person studio, improving cross-department collaboration and reducing asset delivery bottlenecks by 35%
  • Built RESTful API tool with FastAPI to streamline asset requests, accelerating editorial team project turnaround by 50% and cutting manual coordination time by 20+ hours/week
  • Constructed internal software packages integrating Pixar’s USD into animation software with custom C++ and Python utility tools, reducing repetitive artist tasks by 40%
  • Integrated Atlassian APIs with proprietary tools to automate task tracking, increasing project visibility and reducing workflow overhead by 25%
  • Developed Python and AppScript-based autofill spreadsheet tool, improving production team efficiency by 12% and saving 10+ staff hours/week

Research Experience

• 2D Level Generation for Architecture
  Supervisor: Steve Engels | May 2024 - Dec 2024
  • Researched WaveFunction Collapse algorithm. Evaluated, summarized and presented findings to implement simple proof of concept model.
  • Experimented with different architectures and finetuned hyperparameters using GridSearchCV to compare different models
• 3D Generative AI for Climate Change Demo in AR
  Supervisor: Michael Page | May 2024 - Sept 2024
  • Conducted comprehensive literature review on state of the art 3D Generative AI models and their potential use with Unity or Unreal Engines,
  • synthesizing information from 15 academic papers, journals, and credible sources

Projects

• Semantic Search and RAG with Vector Databases and LLMs
  • Developed vector-based semantic search system using Weaviate by deploying Dockerized vector database and text2vec transformer module for efficient querying of vectorized JSON data
  • Designed RAG pipeline leveraging Hugging Face and Lightning AI on GPU-accelerated cloud platforms, supporting natural language queries over custom datasets and PDFs
• ASPENLOG Load Visualization Tool
  • Collaborated with cross-functional team to deliver modular software suite calculating wind, seismic, and dead load combinations on structures based on NBCC 2020 standards
  • Implemented 3D load visualization using Blender integrated with PostgreSQL database and Python algorithms for accurate structural analysis
  • Contributed to multi-component architecture including backend APIs, PostgreSQL database, and Electron-based frontends ensuring scalability and cross-platform support
• Driver Drowsiness Detection
  • Designed CNN model detecting eye closures from facial landmarks to calculate PERCLOS value, achieving 98.9% test accuracy through data augmentation techniques
  • Implemented transfer learning with AlexNet and VGG16, applying Gaussian blur, rotation, flips and cropping to increase model consistency by 50%
• “Sonar Escape” Unreal Engine Game
  • Collaborated as gameplay programmer contributing C++ code in Unreal Engine to implement player movement, underwater physics, and collision systems
  • Achieved Top 30 placement out of 150 teams in Visuals, Accessibility, and Tech categories with praised movement mechanics and fluid controls
• “Oogway” Turtlebot Autonomy Project
  • Worked in a group of 4 to implement turtlebot autonomous mapping using C++ and Twist package in ROS.
  • Implemented feature detection using SURF to allow the turtlebot to discern labels.