I love to build.

Incoming Software Engineer Intern on the Search Engine team.

Teaching Assistant at Carleton University.

Reduced administrative workload by 10× by building a full-stack Rails platform that replaced 15+ Excel spreadsheets with automated workflows, dashboards, and centralized data, supporting 300+ interns and 40+ Early Careers staff. Improved data accessibility and analytics by designing ERDs, prototyping intuitive interfaces in Figma, and integrating BigQuery to centralize 2,000+ intern records, enabling insights for 75+ managers and 200+ mentors. Accelerated intern-to-team allocations by implementing a Gale–Shapley–based matching engine that automated 80% of assignments, reducing manual allocation time from 4 weeks to under 10 minutes.

Reduced deployment and environment setup time by over 80% by shipping a full-stack RAG AI chatbot using React + TypeScript, Express.js, and PostgreSQL, containerized with Docker and deployed on a custom VM. Reduced manual document processing by over 90% by building an automated RAG AI pipeline in Python with Jenkins, uploading hundreds of document embeddings to AWS S3 for vector DB ingestion. Enhanced access to internal engineering knowledge for 20+ employees by partnering with cross-functional teams to roll out the chatbot across departments, reducing support overhead and cutting onboarding time by up to 50%.

Led weekly tutorials and held regular office hours for 200+ students, reinforcing core OOP and Java concepts, reviewing assignments, and providing targeted practice, resulting in a 20% increase in average exam scores. Provided one-on-one mentorship in Java and algorithmic problem-solving, offering structured guidance, code review, and problem breakdowns, helping students improve assignment performance by up to 25%. Created and curated practice problems focused on data structures, algorithms, and OOP design patterns, designing exercises that strengthened coding proficiency and prepared students for technical interviews.