Highlandia

Project details

Highlandia is a high-concurrency Distributed Educational Platform engineered to provide scalable, AI-driven language learning to 30,000+ active students. The architecture focuses on Automated Content Orchestration and real-time inference, transforming static curriculum into dynamic, interactive spatial experiences. This project serves as a technical benchmark for high-velocity deployment cycles, maintaining 99.9% reliability across multiple campuses through a three-year production lifecycle. Download Highlandia on the Google Play Store.

Key Systems Architecture

  • Automated Content Ingestion Pipeline: Architected an internal CMS that automates the transformation of complex curriculum data into Unity ScriptableObjects and Addressable AssetBundles, enabling high-velocity weekly updates without manual rebuilds.
  • Intelligent Speech Inference Pipeline: Integrated a Whisper AI audio processing layer to facilitate real-time pronunciation feedback and adaptive listening exercises, bridging generative AI with pedagogical outcomes.
  • Enterprise State & Data Synchronization: Engineered a robust remote-saving architecture utilizing AWS S3 and the PowerSchool API, ensuring cross-device continuity and high-integrity progress tracking for tens of thousands of users.
  • Dynamic Content Orchestration: Developed a modular "Mission Manager System" to handle the distribution of narrative-based learning objectives, rewarding progress through a persistent world-building and meta-game economy.
  • Educator-Focused Analytics Layer: Orchestrated the integration of GameAnalytics SDK to synthesize student behavioral data into actionable insights, allowing for real-time adjustments to learning difficulty and pedagogical strategies.

Technical Leadership & Ownership
As a Software Engineer, I played a crucial role in shaping the technical strategy and ensuring the successful production-grade delivery of different features, working collaboratively with a diverse 15-person cross-disciplinary team:

  • High-Velocity Lifecycle Management: Contributed to the engineering of weekly rollouts, ensuring version control stability and performance optimization for a diverse mobile device ecosystem.
  • Architectural Refactoring: Worked on the overhaul of legacy codebases to improve maintainability and performance, reducing technical debt while scaling features to meet increasing student demand.
  • Cross-Functional Orchestration: Facilitated technical alignment between 8+ programmers, artists, and QA analysts to ensure the systemic integrity of the platform over a 36-month development window.

System Architecture
Engine: Unity
AI Layer: Whisper AI
Analytics: GameAnalytics SDK Infrastructure: CMS/AssetBundles/AWS S3

Project Lifecycle
Duration: 3 Years
Phase: High-Scale Production
Scale: 30,000+ Active Students Platforms: Android

Technical Ownership
Full-Stack Systems Engineer
Feature Development Engineer
Performance Optimization Specialist
Analytics & Data Integration Specialist