As a Lead Fullstack Engineer contracted for BMW, I architect and build mission-critical internal tooling that accelerates vehicle prototyping and testing. I own the entire lifecycle—from requirements gathering with automotive engineers to system design, implementation, and deployment within a highly restricted private cloud environment.

Key contributions include:

• Firmware Delivery System: Engineered a secure web-based platform enabling engineers to flash test firmware onto prototype vehicle ECUs, reducing manual intervention and testing cycles.
• Vehicle Topology Visualization: Developed complex visualizations for internal electronic car architectures, allowing engineers to inspect and debug on-board networks intuitively.
• Infrastructure & Scalability: Designed the backend services to be stateless and scalable, utilizing Redis and BullMQ for handling asynchronous job queues related to heavy data processing.

I served as a Technical Lead for major European research initiatives focused on Smart Cities and Urban Mobility, bridging the gap between hardware sensors and high-level decision-making dashboards.

• UPPER Project (EU): Architected a digital twin platform for public transport, integrating real-time telemetry from heterogeneous sources. Leveraged Deck.GL and Kepler.GL to render high-performance geospatial visualizations of transit networks.
• UNCHAIN Project: Led the technical definition and implementation of a sustainable logistics platform. Designed an event-driven microservices architecture using Go and NATS, ensuring decoupled communication between IoT edge devices (ESP32/LoRa) and the cloud.
• Kubernetes & DevOps: Managed the containerized deployment of services, optimizing resource usage and ensuring high availability for pilot demonstrations across multiple European cities.

At this fast-paced LegalTech startup, I played a pivotal role in modernizing the legacy codebase and scaling the product to meet enterprise demands.

• Monorepo Migration: Spearheaded the architectural migration of the core platform from Vue 2 to a Nuxt 3 monorepo. This strategic refactor reduced build times by 40% and significantly improved developer velocity by unifying shared component libraries.
• Performance Optimization: identified and resolved critical bottlenecks in the document rendering engine, improving the load time of complex legal contracts for end-users.
• Feature Ownership: Led the end-to-end development of the "Smart Forms" feature, a key value driver that allowed legal teams to automate data collection through dynamic, logic-driven questionnaires.

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

• Performance Analytics: Optimized the data processing pipeline that converts thermal images into actionable physiological metrics, assisting medical staff in real-time decision making.
• Quality Assurance: Instilled a culture of reliability by implementing automated testing suites (PHPUnit, Jest, Puppeteer) and establishing strict code review protocols.
• Platform Evolution: Led the modernization of the legacy LAMP stack frontend towards a responsive React-based interface, significantly improving usability for non-technical medical personnel.

I functioned as a versatile Full Stack Developer for a consultancy, delivering tailored digital solutions for diverse clients.

• Enterprise Web Platforms: Designed and shipped complex web applications using Nuxt.js and Node.js, managing the full stack from PostgreSQL database design to reactive frontends.
• IoT & Mobile: Developed hybrid mobile applications with React Native and dashboards for IoT monitoring systems, enabling real-time data visualization for industrial clients.
• Mentorship & Strategy: Actively mentored junior developers and interns. Collaborated directly with clients to define technical requirements and scope successful project proposals.

I operated at the intersection of Data Science and Software Engineering, building the engines behind automated sports journalism.

• NLG Pipelines: Engineered Natural Language Generation models capable of synthesizing structured football match data into human-readable news articles in real-time.
• Data Automation: Built robust ETL pipelines using Python to ingest, clean, and normalize high-frequency data streams from official leagues (La Liga, Premier League).
• Model Optimization: Collaborated with linguists and data scientists to fine-tune model output, ensuring grammatical accuracy and narrative variety in generated content.