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.
Over the past three 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.
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.
Strongest on the backend (Java / Spring), solid across the full stack. I'm moving from senior toward architect-level backend and platform work, while deliberately exploring 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 ~200 pick-and-place operations/day across ~20,000 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 ~99%; 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
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
The badges above link to my curated GitHub lists by category.
- For the full, detailed breakdown of every project → danielpolowork.github.io
Open to backend / platform roles at product-driven companies — remote or relocation outside Europe.
- Reach me on LinkedIn.