CV
Education
- B.S. in Mechanical Engineering, University of Toronto, 2024
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.