About
My journey into programming began back when I was 12 years old, tinkering with creating a bot for RuneScape. I was hooked from the start, finding joy in crafting something that could level up my character while I was at school or snoozing away. This fascination never went away as I find myself today with a Master's in Software Engineering, focusing on automation and machine learning.
Outside of my graduate studies and capstone internship, I'm passionate about expanding my tech skills. Currently, I'm developing a Fantasy Basketball AI Team Analyzer, leveraging machine learning to provide personalized insights. I've also had the recent privilege to work on a sophisticated web app for "Tech Thursdays", an event sponsored by a large fintech company, and enjoy competing in hackathons, recently placing 2nd and 4th in the 2024 Nursing Hackathon and YYCHacks 2024, respectively.
While I'm not at my computer, I enjoy hiking, playing video games, watching basketball (diehard Raptors fan), and hanging out with my dogs. A fun fact about me is that I used to be the #7 ranked world and #1 ranked North American Elise player in League of Legends!
Experience
2024 — Present Calgary, ABBack-End Developer · CircleCVI
Engineered robust MySQL Stored Functions and Procedures to ensure database integrity and consistency, crucial for maintaining reliable DICOM data, including complex image and metadata processing. Developed and optimized Python scripts for automation, enhancing multiple back-end processes such as data validation, extraction, and transformation, which significantly improved overall data management workflows. Played a key role in improving the in-house tool for managing DICOM data, significantly boosting data access efficiency and meeting diverse development and testing needs.
- Python
- mySQL
- React
- Django
Jun - Dec 2023 Calgary, ABSystems Analyst · Zedcor
Proactively monitored Genetec system performance, identified bottlenecks, and implemented optimization strategies to enhance system reliability and performance. Configured and programmed sensors using PHP and MySQL to enhance security measures and ensuring efficient monitoring of critical areas. Increased system efficiency by ∼5% by optimizing red zones, filters, and training object analytic models.
- Python
- mySQL
- PHP
2020 - 2022 Toronto, ONFull-Stack Developer · Carnostic Inc.
Participated in the full life-cycle of front-end and back-end features, including research, implementation, and maintenance, ensuring a seamless user experience. Implemented machine learning algorithms to analyze sensor data and predict future vehicle issues, enhancing the app's ability to offer proactive maintenance suggestions and improving user trust and app reliability. Engineered a real-time alert system that integrated predictive maintenance algorithms with the app’s notification infrastructure. Leveraged RESTful APIs to ensure seamless data flow from vehicle sensors to the app, enabling users to receive timely alerts about potential issues.
- Java
- JavaScript
- React
- Springboot
Projects
Improving Nutrition for Medically Complex Children - iOS Application
Collaborating with Alberta Health Services nurses to develop an innovative iOS application focusing on nutrition for medically complex children. Utilizing Swift, Firebase, and machine learning to create personalized feeding plans and a chatbot, earning 2nd place in a hackathon event and continuing to contribute to ongoing development.
- Swift
- Firebase
- Machine Learning
Tech Thursdays Web Application
Collaborated on Neo Financial's Tech Thursdays web app, employing Azure DevOps and Scrum for efficient project management. Used Figma for design, React for front-end, and Drupal for back-end, integrating APIs for features like newsletter subscriptions. Ownership transferred to Neo Financial for maintenance.
- Azure DevOps
- Scrum
- Figma
- React
- Drupal
YYC MedMatch - Connecting Calgary Newcomers To Healthcare Providers
Developed a multicultural healthcare app for Calgary newcomers, improving access to healthcare providers. Used React and TypeScript for a multilingual, user-friendly interface. Data dynamically scraped from official medical registrar and built a scalable backend with Python and MongoDB. Added search functions to find providers by language, specialty, and location.
- React
- TypeScript
- Python
- MongoDB
Autonomous Plant Disease Detection Robot
Led the development of an autonomous "Pathfinder robot", utilizing Arduino for sensor integration and Raspberry Pi for hyperspectral camera programming to navigate through plant rows, avoid obstacles, and identify plant diseases. Engineered with temperature, humidity, and ultrasonic distance sensors, alongside Wi-Fi data transmission capabilities, securing 1st place in the university's W22 innovative engineering design competition.
- C
- Arduino
- CircuitLab
