CrohnMate
Production deployment layer for the CrohnMate health companion: Dockerised services, Nginx, SSL, monitoring hooks, and automated deploys so the stack stays observable and secure.
DockerNginxGrafanaGitHub ActionsLinux
Interactive
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Try my projects live — no setup needed. Click, explore, and see how they work in real time.
Live Demos
3 projectsileoJournal
Mobile-first PWA for people with ileostomy: log urine and ileostomy output, fluids, meals, meds, and vitals; hydration balance, safety traffic-light, reminders (Discord/push), PDF reports for nurses, and automatic alerts.
TypeScriptPWAWeb APIsPDF generation
TransferHub Web
Next.js 16 frontend for a football transfer intelligence product: dashboards, filters, charts, auth-aware flows, and i18n — consuming backend APIs for player and market data aimed at agents and power users.
Next.jsTypeScriptTailwind CSSReduxSWRRecharts
More Projects
Documentation & source codeAurora Advent Calendar
A React + Vite advent-calendar experience with daily unlocks, mini-games (e.g. calendar quiz), QR flows, and persistent user state for a playful December countdown.
ReactViteExpressJavaScript
CrohnMate Diary
Personal Crohn’s disease diary: structured daily logs (symptoms, food, context), FastAPI backends, Discord bot UI, ML pipeline for temporal features and risk-style signals, plus recipe and AI text layers.
PythonFastAPIPostgreSQLDiscord API
Hub Control Panel
Web control panel for Linux hosts: start/stop/restart whitelisted systemd services, stream journal logs, and watch CPU, RAM, disk, temperature, and network in real time — with optional AI assistant and dynamic DNS helpers.
PythonFlasksystemdLinux
Adaptive RAG architecture
Structured documentation for production-style RAG: canonical ingestion models, adaptive retrieval (simple, enriched, multi-backend), query routing, hybrid sources (docs, SQL, graph), freshness, metrics, and implementation phases.
MarkdownArchitectureRAGVector DB
studyAI
Upload your own PDFs and notes, define a study goal, and get structured study material, practice questions, and chat answers grounded in your files — with agents for planning, writing, and evaluation.
PythonRAGLLMAgents