Where I've worked

As a Senior Full-Stack Engineer at Lumibit Digital (contracted for BMW), I build internal products used by thousands of engineers across multiple applications. Most of the work runs inside a highly restricted private cloud, so shipping means being pragmatic: deliver value fast, but never at the expense of reliability or security constraints.

I usually own features end-to-end — from clarifying requirements with domain experts, to architecture, implementation, and production support.

Key contributions:

• Functionality track system: A feature lifecycle management tool that tracks required functionalities across vehicle models, monitoring component status, ownership, and real-time metrics to ensure delivery and compliance.
• Vehicle topology visualization: Turned internal vehicle architecture definitions (compiled from multiple internal data sources) into an interactive SVG-based explorer — clickable elements, targeted search, and contextual details — making complex systems easier to navigate and debug.
• Scalable data processing & automation: Designed stateless backend services and background pipelines with Redis + BullMQ to parse large datasets, run validations, and handle long-running preprocessing. This improved overall app responsiveness and enabled new features like event-driven notifications (e.g., emails for key events or expirations).
• Test vehicle utilization & availability system: A fleet availability and utilization platform that visualizes test vehicle allocation across teams on a timeline, tracking assignments, availability, and in/out metrics while aggregating data from multiple vehicle data sources.

I was a Technical Lead on major European research initiatives focused on Smart Cities and Urban Mobility, connecting hardware sensors to high-level decision dashboards.

• UPPER Project (EU): Architected a digital twin platform for public transport, integrating real-time telemetry from heterogeneous sources and rendering high-performance geospatial views with Deck.GL and Kepler.GL.
• UNCHAIN Project: Defined and implemented a sustainable logistics platform that uses a DataSpace (from IDSA) to securely share sensitive data between stakeholders, connected with multiple tools like a decision maker for logistic curbside allocation on cities.
• Kubernetes & DevOps: Managed containerized deployments, optimizing resource usage and ensuring high availability for pilot demonstrations across multiple European cities.

At this fast-paced LegalTech startup, I helped modernize the legacy codebase and scale the product to meet enterprise demands.

• Monorepo Migration: Led the migration of the core platform from Vue 2 to a Nuxt 3 monorepo, cutting build times by 40% and improving developer velocity by unifying shared component libraries.
• Performance Optimization: Identified and resolved critical bottlenecks in the document rendering engine, improving load times for complex legal contracts.
• Feature Ownership: Owned the end-to-end development of "Smart Forms," enabling legal teams to automate data collection through dynamic, logic-driven questionnaires.

I built features for a pioneering HealthTech platform used by elite sports teams (La Liga, NBA) to prevent injuries through thermal imaging analysis.

• Performance Analytics: Optimized the pipeline that converts thermal images into actionable physiological metrics, helping medical staff make decisions in real time.
• Quality Assurance: Instituted automated testing suites (PHPUnit, Jest, Puppeteer) and stricter code review practices to improve reliability.
• Platform Evolution: Led the modernization of the legacy LAMP frontend into a responsive React interface, improving usability for non-technical medical staff.

I worked as a Full Stack Developer at a consultancy, delivering tailored digital solutions for a wide range of clients.

• Enterprise Web Platforms: Built complex web applications with Nuxt.js and Node.js, owning the full stack from PostgreSQL schema design to reactive frontends.
• IoT & Mobile: Delivered hybrid mobile apps with React Native and IoT monitoring dashboards, enabling real-time data visualization for industrial clients.
• Mentorship & Strategy: Mentored junior developers and interns, and worked directly with clients to define requirements and shape project proposals.

I worked at the intersection of data science and software engineering, building the systems behind automated sports journalism.

• NLG Pipelines: Built Natural Language Generation models that turned structured football match data into human-readable news articles in real time.
• Data Automation: Developed ETL pipelines in Python to ingest, clean, and normalize high-frequency data streams from official leagues (La Liga, Premier League).
• Model Optimization: Worked with linguists and data scientists to fine-tune model output for grammatical accuracy and narrative variety.