Available to hire
I am a passionate software developer with experience interning at industry leaders like SAP and Amazon Web Services, where I contributed to cloud-native solutions, automation, and AI integration. My experience spans a variety of programming languages and tools, and I thrive in fast-paced, collaborative environments where I can help build scalable and efficient systems.
Currently completing a Bachelor of Science in Computer Science with a minor in Data Science at the University of British Columbia, I am excited about creating innovative software solutions and eager to continue growing my skills in software development, cloud technologies, and AI.
Skills
Work Experience
Agile Developer Intern, SAP Analytics Cloud at SAP
April 30, 2025 - September 3, 2025Developed a TypeScript-based Visual Studio Code extension integrating multiple systems into an AI Copilot agent to accelerate development and deployment. Created a GitHub client implementing authentication and API calls for the extension. Implemented webpack bundling and automated updating to enhance functionality and user experience. Led coordination with multiple teams to upgrade systems to Java 17, improving performance and compatibility.
Software Development Engineer Intern, VPC Lattice at Amazon Web Services
August 31, 2023 - September 3, 2025Designed a fault-tolerant, cloud-native checkpointing system with Golang and DynamoDB that reduced workflow retry time by 90%. Refactored non-idempotent workflows with error handling and idempotency tokens to improve microservices reliability. Built an automated system to detect and prioritize incomplete DynamoDB workflows, enhancing system observability and operational health. Automated DynamoDB table provisioning as part of infrastructure-as-code deployment. Designed checkpoint objects to optimize workflow retry continuity and system resilience.
Software Development Engineer Intern, API Gateway at Amazon Web Services
August 31, 2022 - September 3, 2025Created an automated ticket request handling service using Python, SQL, Bash, and Ruby templating that reduced ticket resolution times by up to 60%. Designed, implemented, and tested tools including an automated diagnostic process addressing SEV-2 incidents caused by latency spikes. These tools increased efficiency and convenience for on-call engineers by enabling automatic issue diagnosis within tickets.
Bioinformatics Research Assistant, Faculty of Medicine at University of British Columbia
January 31, 2023 - September 3, 2025Optimized HPC data pipelines using Python, Numpy, and Pandas for protein inference across datasets exceeding 10 TB, reducing runtime by 60%. Deployed parallelized workflows via OpenPBS and UBC's Advanced Research Computing infrastructure. Led evaluation of bioinformatics tools to enhance accuracy and reproducibility of protein data inference.
Education
Bachelor of Science in Computer Science, Minor in Data Science at University of British Columbia
September 1, 2020 - November 1, 2024Qualifications
Industry Experience
Software & Internet, Healthcare, Education
Skills
Hire a Developer
We have the best developer experts on Twine. Hire a developer in Vancouver today.