Profile
Full Stack Software Developer with experience in modern web technologies, cloud services, and AI integration. Skilled in building scalable applications, optimizing performance, and delivering business value through technical solutions.
Education
BSc. Computer Science
September 2017 to December 2022 at University of Calgary, Calgary, Canada
Experience
Full Stack Software Developer
From September 2023 to Present at Blurb.fm, Calgary AB, Canada (Remote)
- Led technical initiatives and product discussions, modernizing legacy systems while driving business-aligned improvements.
- Created YouTube automation tools in Node.js/TypeScript, streamlining video uploads and analytics with BigQuery integration.
- Built an OAuth-based client portal using NextJS with Stripe integration and AI-driven video promo customization.
- Streamlined CI/CD pipelines by optimizing Docker image sizes, enhancing caching, and parallelizing builds, significantly reducing deployment times.
Junior Full Stack Software Developer
From January 2023 to September 2023 at Neo Financial, Calgary AB, Canada
- Developed and maintained event handlers for interconnected microservices using Typescript and AWS SNS/SQS for reliable message handling.
- Created queries and mutations using GraphQL, Apollo on Typescript, and MongoDB to optimally fetch data.
- Designed, built, and integrated new services with existing back-ends and third-party APIs for seamless functionality.
- Proactively triaged alerts on Datadog and AWS, swiftly identifying and resolving critical issues to minimize impact on staging and production environments.
Backend Software Engineer - Intern
From May 2022 to December 2022 at League, Toronto ON, Canada (Remote)
- Developed and maintained unit-tested REST API endpoints for user profiles in Go (Golang).
- Migrated data from MongoDB to Google Cloud using Bash scripts and CircleCI, improving backup efficiency.
Software Engineer - Intern
From May 2020 to August 2021 at Garmin, Cochrane AB, Canada (Remote)
- Maintained and created new features for several data processing and analysis tools used to judge biometric performance on fitness devices. Used C, and Python with Pandas and NumPy.
- Automated release pipeline tasks using advanced Git commands and Python.
- Created a data scraper GUI in Python that speed up productivity for several teams.
Projects
MonsterLabs.app
- AI-powered SaaS for generating DnD monsters and magic items using Next.js, Supabase, OpenAI API, and Stripe.
- Optimized site performance with caching, ISR, pagination, and parallelized API/database calls for fast page load.
- Mobile friendly and currently serving 3 paying customers.
Smart Journal
- Awarded best use of machine learning.
- Created for the Calgary Hacks 2022 Hackathon under 24 hours.
- Utilized Flask and Google natural language AI to give smart prompts for writing journals.
Race Telemetry Dashboard
- Created REST APIs in Go with MongoDB to add race car and user information to our dashboard to deliver historical and real-time data, guarded by user permissions.
- Used Typescript, React and Bootstrap to create our front-end dashboard.
Embedded Racecar Display
- Programmed a race car dashboard with embedded C using STM32 chipset an ARM processor. Used for car diagnosis and as a racing screen.
- Optimized speed and memory usage by implementing unique drawing and refreshing functionality.
Skills
- TypeScript
- JavaScript
- NextJS
- React
- Python
- C
- Go
- Bash
- HTML
- CSS
- SQL
- NoSQL
- GraphQL
- Tailwind
- REST APIs
- OAuth
- NodeJS
- Jest
- Docker
- GitHub
- Postgres
- MongoDB
- BigQuery
- AWS
- GCP
- Firebase
- Supabase
- Stripe
- LLMs