I architect and deploy high-performance, AI-native applications with a focus on type safety, edge computing, and extreme reliability. My engineering philosophy revolves around the Testing Trophy—prioritizing deep integration and E2E suites to ensure production-grade stability.

• 🤖 AI Specialization: Building multimodal pipelines using LLMs for automated reasoning and data extraction.
• ☁️ Cloud Native: Designing serverless, edge-first architectures with Go, Next.js 15, and Supabase.
• 🛡️ Security First: Implementing robust Row Level Security (RLS) and identity management to ensure data sovereignty.

         

A sophisticated weather and attire intelligence platform.

• Hybrid Service Pattern: Implements a robust weather service with automatic fallbacks between live API data and deterministic mocks.
• AI Logic: Multimodal extraction of university schedules via Gemini 2.5 Flash.
• Tech: Next.js 15, Supabase, Auth0, Vitest, Playwright.

An enterprise-grade audit and governance system.

• Audit Engine: Features an asynchronous worker for telemetry processing and custom middleware for system governance.
• Tech: Go (Golang), PostgreSQL, Prometheus/Grafana.

Automated academic efficiency tool.

• Core Intelligence: Uses multimodal LLMs to parse complex academic syllabi into actionable performance dashboards.
• Tech: FastAPI, React, Tailwind CSS.