Backend architecture for systems where software meets physical operations — enterprise CRM/ERP, robotised warehouses, and CAD automation. I design the system before I write the code.
I'm a full-stack engineer with 10+ years of professional experience, deep on backend architecture for enterprise web applications (CRM, ERP) and industrial automation.
For the past few years I've architected management software for fully-automated warehouses — real-time integration with autonomous guided vehicles (AGVs) and precision weighing hardware through custom protocol adapters, orchestrating ~200 pick-and-place operations per day across ~20,000 SKUs.
Most recently I led a CAD automation initiative that replaced a legacy 2D AutoCAD workflow with a SolidWorks macro pipeline — generating 3D assemblies and 2D technical layouts directly from ERP data, cutting drawing time by ~99%.
Deep on the backend (Java / Spring), mid-level on the frontend. My focus stays on the craft of building software — growing toward architect-level backend and platform work — while I deliberately explore AI-agent engineering as the next frontier.
On visibility: most of my strongest work is proprietary and under NDA. What's public here is purpose-built to demonstrate the same engineering — reference projects and coding challenges. I'm glad to walk through the architecture and design decisions of the private systems in a call, or share sanitised case studies.
Primary stack: Java · Spring Boot / Spring MVC · PostgreSQL · REST / OpenAPI · Docker
| Languages | Frameworks & runtime | Databases | Tools & DevOps | CAD & automation | API & integration |
|---|---|---|---|---|---|
Java Spring Boot PostgreSQL Docker REST
Enterprise web application running operations inside a fully-automated warehouse. Real-time integration with AGVs and precision scales through custom protocol adapters; orchestrates pick-and-place workflows, inventory reconciliation, and operational dashboards. I owned backend architecture, REST API design, data modelling, and system documentation across 3 years of iterative delivery. Handles ~[N] operations/day across ~[N] SKUs.
VBA SolidWorks API SQL PDM SMTP
Macro pipeline migrating a mechanical-drawing workflow from 2D AutoCAD to 3D SolidWorks. Reads structured data from the company ERP, processes parent-file configurations, and auto-generates child 3D models and their corresponding 2D layouts — with generation flags, outcome logging, and email alerting. Cut drawing time by ~[N%]; currently extending to full assembly generation and associated table creation.
LLM RAG OCR AI Agents
Internal proof-of-concept for a company-wide knowledge base queryable by AI agents. Ingests and indexes proprietary documentation into a local vector store so LLM agents retrieve context-aware answers without sending data to external APIs. Focus areas: RAG pipeline architecture, chunking strategies, embedding models, and agent tool-use patterns.
Design before code — data models and interface contracts are defined and documented before the first line of implementation. I'm direct about blockers, thorough with documentation, and default to ownership: equally effective leading a project solo or contributing inside a structured team.
"If I have seen further, it is by standing on the shoulders of giants." — Isaac Newton
Real progress builds on the work of others. I treat the ecosystem — documentation, the developer community, and AI assistants — as a force-multiplier to move faster and explore wider, while the architecture, trade-offs, and final calls stay mine. I hold myself to high standards, actively seek feedback, and measure growth by what I ship.
- 🤖 AI agent engineering — LLM orchestration, tool-use patterns, multi-agent workflows
- 🧠 Local LLM knowledge systems — privacy-preserving memory layers queryable by agents (R&D)
- ☁️ Cloud-native delivery — containerisation, CI/CD pipelines, infrastructure as code
A curated collection of real-world engineering initiatives spanning enterprise software, industrial automation, logistics platforms, and AI-enabled systems. Each project highlights architecture, integration strategy, automation design, and end-to-end delivery while excluding proprietary business information.
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Open-sourceAgentic Knowledge OSMycelium Labs is an open-source ecosystem that turns fragmented information into a living, connected, operational asset — a shared source of truth for documentation, architecture, governance, and AI agents alike.
One per core language, plus a small AI build — fully independent engineering samples designed to illustrate my architectural approach. These artifacts are entirely original and not derived from, nor related to, my current company work (mostly NDA). One thread: enterprise & industrial systems, engineered end to end.
I’m currently revamping and refactoring my GitHub structure; the new sample repositories will be published shortly.
More Coding challenges — LeetCode and similar solutions.
Open to backend / platform roles at product-driven companies — remote or relocation outside Europe.
- Reach me on LinkedIn.