Phone Pyae Sone Phyo (Soney)

Systems, infrastructure & performance. Graduate coursework in Computer Architecture, Database Systems, and Analysis of Algorithms.

GPA 3.97 / 4.00. Background in software engineering and computer science. Teaching, tutoring, developer community leadership, and campus technology support.

FindingFive

• Replaced nightly pull-based deployments with push-based Bitbucket Pipelines and rollback support.
• Introduced New Relic APM, distributed tracing, and synthetic monitoring; identified approximately two seconds of latency for Korean users accessing US servers.
• Reduced incidents by 70% through proactive monitoring and improved MTTR by 30% with automated runbooks and systemd scripts.
• Established versioned Python packaging and webhook-based Slack deployment notifications. The platform serves 1K+ monthly active users.

Academic capstone projects · SUNY Oswego

• IBM capstone project (January–May 2026): developed versioned GitHub Actions and Terraform deployment workflows, container builds, and pull-request quality gates.
• CSC480 build coordinator: implemented four multi-stage pipelines for PR validation, Docker builds, GHCR publishing, and versioned deployments.

Falcon · Dokploy · GitLab / CodePath AI301

• Falcon: fixed suffixed-responder routing bugs and streamlined cross-platform Python wheel CI using cibuildwheel.
• Dokploy: contributed profile image uploads, API/CLI metadata customization, and an SSH IP-address parsing fix.

Google Developer Groups · SUNY Oswego

• Coordinated technical activities and collaborative initiatives, supported students learning development tools, and encouraged peer learning and teamwork.

SUNY Oswego

• Supported systems programming and data structures courses through office hours and grading.
• Tutored Calculus I and Data Structures and Algorithms, accumulating approximately 200 hours of tutoring experience.

Juncture

• Developed and deployed a spaCy-based parsing pipeline for local talent acquisition clients; reported 86% parsing accuracy.
• Built Selenium collection infrastructure for 10,000+ LinkedIn profiles to support skill analysis and training datasets.

Turning a day of manual deployment into a repeatable, ten-minute workflow. Infrastructure that lets three teams focus on building. <10 min: deployment, down from ~1 day.

A campus dining idea that became a service for real students. Real-time menus, background workers, and an observable cloud platform. 2 campuses: Oswego + Vanderbilt.

Can the signals we collect make the systems we serve faster? Exploring tail latency and request routing across AI inference backends. 3 strategies: one instrumented testbed.

Spring 2026 independent study advised by Professor Douglas Lea.