Maria Arias Hernandez

I’m a Full-Stack Developer focused on building production-ready web products end-to-end—from clean multilingual UX to reliable APIs and practical deployment. I like shipping features with measurable outcomes, clear monitoring, and maintainable architecture.

Most recently, at MTS Web Services Course (KFU) I built an airport locker reservation system with a multi-branch architecture, hourly pricing, and PIN-based email verification. I also implemented real-time monitoring using 20+ custom Prometheus metrics and a Grafana dashboard, then deployed on Vercel with i18n support in 4 languages (EN/ES/RU/ZH) using Next.js 16, Prisma, Supabase, and Docker.

Since Mar 2024, I’ve built and maintained a community web platform independently for 3 years. I implemented a multilingual AI chatbot (ES/EN/RU) using Cloudflare Workers AI (Llama 3.1-8B) with a dynamic system prompt built from real Supabase data, plus a protected admin panel for managing events, representatives, and migration procedures—deployed on Vercel with automatic CI/CD.

In projects, I combine data, ML, and geospatial engineering to solve real constraints. For example, PigeonFree uses FastAPI + Next.js with YOLOv8, scikit-learn (including isotonic calibration), and Supabase/PostGIS; it collected and enriched 1,554 observations and achieved ROC-AUC 0.997, while using Dockerized OSRM and interactive risk zones via Leaflet.js.