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Yazan Armoush

Full-Stack Software Engineer — Rust, Python, TypeScript

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About Me

I’m a full-stack engineer focused on building fast, reliable products across the stack—Rust and Flask backends, React frontends, and AWS infrastructure. I enjoy transforming ambiguous ideas into scalable production systems with measurable impact.

Currently completing my HBSc in Computer Science & Statistics at the University of Toronto (Apr 2026).

Looking for: Software Engineering roles (backend/full-stack, AI-enabled systems).

Site: armoush.com
GitHub: github.com/Yazan10x
LinkedIn: www.linkedin.com/in/yazanarmoush

Experience

Bassem Labs

Software Engineer Intern

  • Built a PDF generation library with ReportLab that automated report cards and student forms, eliminating manual work for 10,000+ documents and delivering production-ready features within 12 weeks.
  • Optimized gRPC data serialization with Protocol Buffers, generating Rust and TypeScript code and replacing enums with integer encoding to reduce payload size by 40% and improve request throughput.
  • Created CI/CD pipelines with GitHub Actions and automated test suites, cutting release cycles from hours to minutes and ensuring consistent, high-quality deployments to AWS ECS.

Ezee Assist

Software Engineer Intern

  • Implemented backend support for scheduled announcements across the web app, Slack, Twilio SMS, and email, automating 5,000+ notifications per day.
  • Synchronized records between internal and client-facing systems by aligning event triggers and database updates for accurate, consistent data.
  • Integrated New Relic APM for key endpoints and background jobs, shifting error detection from reactive ticketing to proactive real-time monitoring.

Flexiti

Software Engineer Intern

  • Pioneered a cross-framework SDK compatible with React, Angular, Vue, and React Native, broadening merchant accessibility and integration support.
  • Accelerated file uploads by enabling AWS S3 automatic region routing (up to 3× faster per region) and integrating CloudFront CDN, reducing response latency across Canada by 90%.
  • Presented a proposed SDK scalability solution to company leadership, outlining performance bottlenecks and architectural improvements adopted in subsequent releases.

Education

University of Toronto

Sep 2021 – Apr 2026

Honours Bachelor of Science — Computer Science & Statistics

Projects

CasPrep — AI Video Interview Simulator

Built and launched CasPrep, an AI-powered platform that simulates CASPer interviews by transcribing and evaluating user video responses with real-time feedback and scoring. Implemented full-stack architecture with secure authentication, scalable video storage, and automated evaluation pipelines to support 300 new users per week in the first 3 months post-launch.

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Hack The North — Health Harbor

Developed an AI-driven prototype using Flask, React, and Cohere APIs to enhance medication classification, disease diagnosis, and treatment recommendations.

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texttoqrcode.com

Developed a customizable QR generator with selectable error-correction levels and user authentication via Google and Apple using Firebase.

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Technical Skills

Languages

Frameworks

Developer Tools

Libraries

Soft Skills

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