Full Stack Engineer specialized in:
→ Scalable event-driven architectures
→ Real-time e-commerce data synchronization
→ AI-powered application optimization
I build systems that simplify technical complexity and improve developer experience.
🔐 Scaling SecureCode HQ — secrets management platform for AI agents
🏗️ Building MyEasyStack — developer PaaS on Hetzner with multi-tenant provisioning
🏗️ Building CTY — multi-tenant e-commerce platform with event-driven architecture
🔬 Evolving MAKO — open specification for LLM content optimization
🧠 Integrating AI into automation workflows and content generation
SecureCode HQ — Secrets Management for AI Agents
Problem: AI coding agents like Claude Code need access to secrets and APIs, but exposing credentials directly creates critical security risks.
Solution: Secrets management platform with a native MCP server, allowing AI agents to access credentials securely without ever exposing them in plaintext.
Architecture: Envelope encryption with Google Cloud KMS
AI Agent (Claude Code)
↓ MCP Server
SecureCode HQ
↓ KEK/DEK Envelope Encryption
Google Cloud KMS
↓ Decrypted on demand
Your APIs & Services
Tech Stack:
- Backend: Node.js, TypeScript, Firebase Functions
- Security: Google Cloud KMS, TOTP/2FA, JWT, envelope encryption (KEK/DEK)
- Distribution: npm SDK, Chrome Extension, MCP Server
- Frontend: Next.js, TailwindCSS
Key Features:
- Native MCP server for Claude Code integration
- Envelope encryption: secrets never stored in plaintext
- TOTP/2FA for agent approval flows
- Tag-based secret organization with visual hierarchy
- npm-published SDK for programmatic access
Traction: Organic post reached ~239K views on Reddit (r/ClaudeAI)
Publicly launched and actively maintained
Problem: Online store owners manually manage catalogs across multiple platforms (WooCommerce, PrestaShop) without technical expertise.
Solution: Centralized product management system with automatic bidirectional multi-CMS synchronization.
Architecture: Clean Architecture + DDD + CQRS + Event Sourcing
Product Catalog (Central Source)
↓ Domain Events
Event Bus (Firebase)
↓ Event Handlers
Sync Workers
↓ Bidirectional Webhooks
WooCommerce | PrestaShop | Shopify
↓ Real-time updates
Observability Layer (Grafana Cloud)
Tech Stack:
- Frontend: Next.js, React, TypeScript, Tailwind CSS
- Backend: Node.js, Firebase Functions, Firestore
- Observability: Grafana Cloud, distributed tracing
- Integrations: WooCommerce REST API, PrestaShop WebService, custom webhooks
Key Features:
- Zero-friction interface for non-technical users
- Bidirectional real-time synchronization
- Event system with replay capability
- Multi-tenant with per-tenant data isolation
- Complete observability: traces, logs, metrics
- Robust error handling and automatic retries
AI Integrations (in progress):
- Automatic product description generation
- AI-assisted SEO optimization
- Intelligent catalog categorization
Actively in development - sync architecture operational
MAKO — Markdown Agent Knowledge Optimization
Problem: Traditional HTML is inefficient for LLMs — high token consumption, semantic noise, unoptimized structure.
Solution: Open specification based on HTTP content negotiation that delivers structured content for AI agents.
Result: ~93% fewer tokens compared to standard HTML.
Client (LLM Agent)
↓ Accept: text/mako+markdown
Server
↓ YAML frontmatter + Clean Markdown
Response
→ 93% token reduction
→ Structured metadata
→ Actionable navigation
| Repository | Description |
|---|---|
| mako-spec | Complete specification |
| mako-js | TypeScript SDK |
| mako-cli | CLI tool |
| mako-site | Analyzer, Score & Directory |
| mako-wp | WordPress plugin |
Impact: Reduces API costs in RAG applications and improves response accuracy by eliminating HTML noise.
FireSchema — Firebase Schema Viewer
Problem: Firestore lacks visual schema documentation, making team collaboration difficult.
Solution: Open-source visualizer that auto-discovers .schema.json files and renders interactive documentation.
Features:
- Static SPA, zero-backend, deployable on any CDN
- JSON Schema 2020-12 standard
- Automatic mapping of folder structure to Firestore collections
- Schema generation via LLM prompts
I build systems that:
- Reduce entropy — Clear interfaces over unnecessary complexity
- Scale cognitively — Architectures teams can understand
- Prioritize experience — For both developers and end users
Frontend
Next.js · React · TypeScript · Tailwind CSS
Backend & APIs
Node.js · Firebase (Auth, Firestore, Functions, Storage) · PostgreSQL
Architecture & Patterns
Clean Architecture · DDD · CQRS · Event Sourcing · Multi-tenant · Webhooks
Observability
Grafana Cloud · Distributed Tracing · Structured Logging
E-commerce Integrations
WooCommerce REST API · PrestaShop WebService · Custom Webhooks
AI & Optimization
LLM Content Optimization · RAG Pipelines · Prompt Engineering
Digital Marketing & Product
Experience in multi-channel campaigns and web analytics — I understand the business behind the code
Industrial Automation
STEP7 (Siemens) · SCADA · Process control — background in mission-critical systems
Hardware & IoT
Arduino · Circuit design · Hardware-software integration
CrossFit · Continuous learning · Intentional building
I combine technical rigor with product vision. I care about both system architecture and real user impact.
💡 Open to remote full-stack and backend roles — securecodehq.com · makospec.vercel.app



