Joshua Dave Oropilla

Confidential

• Lead the engineering team building a real-time “drop checker” that monitors ticket availability across major ticketing platforms — Ticketmaster, AXS, SeatGeek, Vivid Seats, and StubHub.
• Own the architecture for a system engineered to be among the fastest and most accurate inventory-detection tools on the market.
• Built large-scale distributed proxy infrastructure and anti-bot evasion techniques to reliably access heavily protected platforms at scale.
• Set technical direction, drive engineering decisions, and mentor the team as lead developer.

University of Baguio

• Designed and shipped full-stack institutional web apps from architecture through production, serving a 20,000+ student and staff population across mission-critical workflows.
• Built RESTful APIs and backend services with Node.js and Express.js over MongoDB and PostgreSQL, applying schema design, indexing, and query optimization for performance at scale.
• Engineered a real-time graduation management system handling 500–2,000 students per ceremony using WebSocket-driven event processing, replacing a manual paper-based process.
• Built a legacy-system integration layer that ingests, cleanses, and normalizes data from an unmodifiable upstream system into a unified schema — the backbone of a centralized student information platform.
• Delivered a full Human Resources Information System (HRIS): admin dashboard, automated email notifications, performance-evaluation workflows, and a centralized document repository.
• Deployed containerized apps with Docker on Microsoft Azure with automated CI/CD via GitHub Actions.

Self-employed

• Built and shipped an AI-powered legal case digest app for law students, integrating the Claude API with a retrieval-augmented generation (RAG) pipeline — offered free of charge.
• Deployed on Azure Kubernetes Service (AKS Automatic) with pay-per-second compute to minimize hosting costs for a free-to-use platform.
• Managed end-to-end cloud delivery independently with Docker and version-controlled pipelines in an async-first workflow.