Open to opportunities

Kamil Labus

@kamillabus

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Fullstack developer building AI-first agentic systems for production-grade automation.

Poland

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What I'm looking for

I’m looking for a role where I can build production-grade agentic systems, own end-to-end delivery, and combine Fullstack engineering with AI engineering—shipping reliable automation with strong observability, performance, and real integrations.

I’m a results-driven Fullstack Developer with an AI-first mindset, transitioning into AI Engineering by building production-grade agentic systems. I create real-world automation platforms that turn complex workflows into reliable, end-to-end experiences.

I’m the creator of OmniAccountant, a B2B AI platform that automates invoice-to-ERP reconciliation and cuts manual audit time from hours to seconds. I architect durable workflows with Temporal.io, design a zero-trust integration layer using Model Context Protocol (FastMCP), and use Langfuse to optimize LLM observability and prompt efficiency.

In commercial work, I’ve owned delivery of core modules and authentication flows by bridging Symfony/PHP backends with React frontends, and I’ve deployed 10+ n8n workflow automations to reduce manual client work by ~15 hours per week. I also accelerated feature delivery time by 30% using agentic coding tools like Cursor and Claude Code to quickly navigate and refactor legacy systems.

Experience

Work history, roles, and key accomplishments

Fullstack Developer

Soffee

Aug 2025 - May 2026 (9 months)

Owned end-to-end delivery of 5+ core business modules and authentication flows, bridging the Symfony/PHP backend with the React frontend. Engineered and deployed 10+ n8n workflow automations (incl. OAuth2 integrations), reducing manual operations by ~15 hours/week and accelerating feature delivery time by 30%.

Symfony PHP React Authentication N8n OAUTH2 Workflow Automation

Frontend Developer

Flow2Code

Sep 2023 - Dec 2023 (3 months)

Developed and optimized 20+ responsive UI components using React and Next.js in an Agile team, improving application performance and user experience. Identified and resolved 15+ critical production bugs, reducing user-reported issues by 25% during the Q4 deployment cycle.

React Next.js Responsive UI Agile Development Deployment

Education

Degrees, certifications, and relevant coursework

University of Silesia in Katowice

Bachelor of Engineering, Applied Computer Science

Activities and societies: Bachelor’s thesis: “Application of Generative Adversarial Networks (GANs) in facial image reconstruction from sketches”. Relevant coursework: Machine Learning, Neural Networks (CNN, GANs), Algorithms, Software Engineering.

B.Eng. in Applied Computer Science at the University of Silesia in Katowice. Thesis focused on applying Generative Adversarial Networks (GANs) to facial image reconstruction from sketches.