Experience

Web Developer | Engineering Students’ Society
Sep 2022 - Apr 2024
- Drafted and developed modern user interfaces with JavaScript frameworks, HTML, and CSS, to improve outreach to engineers at the University of Alberta, ensuring better communication and engagement with students which increased audience engagement by 46%.
- Collaborated with the IT team to enhance the ESS website by implementing new functionality and integrating a more streamlined UI and UX design.
- Built filters to allow students to easily find companies hiring for their specific engineering discipline and see which companies were attending on each day. This improved the user experience and streamlined the job search process for students.
React Developer | The Fresh Living
May 2023 - Jun 2023
- I leaveraged React, Node.js, Next.js and Tailwind CSS to build modular components, improving code maintainability and consistency across the application.
- With multilingual customers, implemented seamless multi-language support utilizing next-intl, enhancing user experience for international audiences.
- Reduced webpage loading time by 56% using Next.js server rendered components and improved SEO performance.
Software Developer Student | PCL Construction
Jan 2024 - Sep 2024
- Optimized the codebase and introduced new features for Industrial Project Management (IPM) C# desktop application, full-stack mobile kiosk web application using ASP.NET and Angular (TypeScript), and Enterprise Resource Planning C# desktop application.
- Implemented a multi-threaded asynchronous report system in IPM, significantly improving efficiency by 5x in exporting batch reports for clients.
- I wrote SQL queries to efficiently extract, transform, and visualize data, improving insights and decision-making.
- Developed predictive models in PowerBI based on historical in-shop work data to estimate future work capacity, enabling more informed, data-driven decisions.
- Refactored and optimized 1000+ lines of Angular frontend and backend code for improved performance and maintainability. Overhauled the UI/UX design based on feedback from users, to improve workflow.
- Implemented a microservice to dynamically load and display PDF technical drawings in Angular, supporting multiple file revisions and enabling annotations for enhanced collaboration.
- Integrated automated testing into the CI/CD pipeline for an Angular application using Azure DevOps, improving deployment efficiency and software reliability.
- Engineered an automated ML pipeline using image processing and TensorFlow for data collection, preprocessing, and fine-tuning a ResNet model for accurate label recognition in technical drawings.
Undergraduate Research | University of Alberta
Sep - Dec 2024
- I developed a machine learning pipeline using ML libraries from TensorFlow, PyTorch, scikit-learn to predict the effectiveness of different drug on certain cancers using cancer genomic data.
- Performed data analysis and visualization on the Cancer Cell Line Encyclopedia dataset using Pandas and Matplotlib.
- Implemented preprocessing and training workflows using scikit-learn for streamlined data preparation and cleaning.
- Evaluated and optimized predictive performance by applying dimensionality reduction techniques and diverse models, including Elastic Net, GNN, and SVM, to identify the most effective approaches for drug response predictions.
- Supervised by PhD Dr. Lei Ma and wrote an academic paper.
AI-based Automation Developer | University of Alberta
May 2025 - Present
- Integrated industrial machine vision cameras (Ethernet) to continuously capture images for chemical process control.
- Built image processing pipelines using OpenCV and scikit-image to analyze surface textures (GLCM, LBP) for reliable and robust interface detection in industrial chemical processes.
- Designed and implemented a Python-based web application with Dash and Bootstrap, enabling intuitive, real-time visualization and interaction with processed data.
- Assisted graduate students in configuring PLC-based lab experiments to model the bitumen extraction process.
Available for 4 or more months for co-op
Starting Sep 2025
As an 4th year student with 7 semesters completed, I'm looking to wrap my degree with experience in software engineering or machine learning.

Featured Projects

Blog Website

Angular

ASP.NET

SQL Server

TypeScript

TailwindCSS

I developed a full-stack blog website using Angular for the frontend with ASP.NET and SQL Server for the backend, delivering a responsive and user-friendly interface. I implemented RESTful APIs with a DTO and repository pattern, creating an efficient abstraction layer for seamless data management while decoupling domain objects from the schema, resulting in a maintainable and scalable application.

Link Github

Genetic Algorithms Asteroids Bot

Python

PyGAD

Scikit-fuzzy

I built an bot to play the Kessler Game (Asteroids) using PyGAD, applying genetic algorithms for evolutionary optimization. I fine-tuned performance through mutation, crossover, and fitness-based selection in a simulated testing environment, winning 1st place in a class competition.

Github

A mockup of Genetic Algorithms Asteroids Bot

Game Discovery Website

React

TypeScript

Axios

Chakra UI

A Game Discovery App that lets you filter for games based on genre, platform, search and you can also sort by relevance, popularity, and more. I utilized the RAWG API and Axios and hooks to fetch a list of filtered games. I focused on making the code is modular and reusable. This project helped my solidfy my understanding of hooks, props, and APIs.

Link Github

Prompt GPT

The ultimate app for discovering and sharing the most creative and powerful ChatGPT prompts! Built with React and Next.js, Prompt GPT offers a seamless and dynamic user experience. I've integrated next-auth to provide secure and intuitive user authentication, making sure each user can easily create their own account and join the community. The app is powered by a robust MongoDB database, enabling full CRUD operations to create, read, update, and delete your favorite prompts.

Link GitHub

Navigation System

I worked independently on a Navigation System that required me to implement Dijkstra’s algorithm, data parsing, and the in and out pipe communication to the pygame plotter. I created a C++ class called digraph.cpp and implemented Dijkstra's algorithm to determine the least cost path between two points on the map. Through my implementation of unordered maps and a min heap, my algorithm achieved an efficient time complexity.

GitHub

Fruits360 CNN

I built a robust fruit classification system using a pre-trained ResNet50 model with additional layers to accurately categorize a diverse dataset of 60 different fruits images of 100x100x3, achieving a validation accuracy exceeding 99%. Implemented standard ML techniques, including the creation of a confusion matrix for performance evaluation and the implementation of data augmentation for improved model generalization

Link

Particle Reaction Simulator

I collaborated with 4 other members at the 2023 HackED hackathon to produce a working model within 24 hours. We successfully simulated 3D elastic collisions between hundreds of particles and reacted to form a new particle utilizing Three.js. In addition, we added macroscopic properties such as temperature which can affect the velocity of each particle and the reaction speed.