Martin Barbason

At Toyota, I worked on a digital twin system simulating forklift behavior and its interactions with real-world components, including sensors, screens, and control panels. I developed Python-based microservices to manage simulation logic and hardware communication, using Redis for low-latency, in-memory data exchange to synchronize real-time operations. The system was deployed on Azure, leveraging cloud compute, CI/CD pipelines, and event-driven architecture for scalability and reliability. Following test-driven development with pytest, I ensured robustness and maintainability across all services. This project highlights my expertise in real-time, hardware-integrated back-end systems, cloud infrastructure, and event-driven architectures in industrial environments.

At TFTC, I worked on a real-time data integration and tracking platform for the largest agricultural food retailer in the U.S. The platform consolidated and monitored live data from multiple systems to ensure product traceability, inventory accuracy, and operational visibility across the supply chain.

I helped build an event-driven architecture using Kafka Connect to stream and process data from internal services and third-party providers. I developed core Python back-end services and exposed the data through GraphQL APIs (Graphene), enabling real-time access for multiple front-end applications. To support low-latency responses and reduce load on primary databases, we integrated Redis for caching and transient data handling. The system was scaled to handle high-throughput data while maintaining responsiveness and reliability. Following test-driven development, I ensured system correctness and stability.

This project highlights my ability to build robust, scalable back-end solutions for critical real-time tracking applications in the retail and logistics sector.

At Siemens, I developed a real-time monitoring and predictive maintenance platform for CNC machines. I built Python microservices to process high-volume sensor data, extract KPIs, and detect early malfunctions. The system used Redis for low-latency caching and messaging, and was deployed via Docker, Kubernetes, and AWS for scalability and resilience. I implemented event-driven architecture, developed live dashboards with React and TypeScript, and ensured quality with pytest for unit and integration testing. This project showcases my expertise in real-time, cloud-native, high-throughput industrial systems.

At Easypharm, a Belgian mobile application, I developed the Flutter front end based on a design sprint conducted with the client. The app allows patients to chat with pharmacists, order drugs with or without prescriptions, navigate to their favorite pharmacy, read articles, and view promotions. I also served as technical lead, designing the project's back-end infrastructure and guiding the team. The back end used AWS Lightsail, a SQL database, GraphQL API, automated CI/CD pipelines, and Firebase mobile notifications, ensuring scalability, reliability, and smooth mobile experiences.

This project highlights my expertise in Flutter development, mobile UX, cloud infrastructure, GraphQL, CI/CD, and leading cross-functional technical teams.

I developed mobile and web applications for a Luxembourg fintech company to help managers oversee $50 billion in ethical funds. The web application, built with Ruby on Rails, allowed managers to connect funds to real-time data feeds from external sources and analyze KPIs. The mobile application provided real-time notifications for abnormal or critical fund statuses, helping managers respond quickly and efficiently.

Given the high stakes, I applied test-driven development to ensure robust, error-free functionality and maintain full confidence in the system. This project highlights my expertise in full-stack development, real-time data analysis, mobile notifications, Ruby on Rails, and delivering mission-critical financial applications.

At BNP Paribas Fortis, I developed a mobile and web application suite to streamline internal banking operations and enhance employee efficiency. The web application, built with Angular and TypeScript, allowed staff to monitor client transactions, manage account information, and generate operational reports in real-time. The mobile application provided push notifications, task management, and instant access to key metrics, enabling prompt responses to urgent client or operational needs.

I implemented REST APIs and a NoSQL database (MongoDB), ensuring secure, flexible, and scalable data handling between mobile and web apps. I also set up CI/CD pipelines, automated testing, and optimized queries to maintain high performance and low latency under heavy workloads. This project highlights my expertise in full-stack development, real-time financial data processing, mobile and web integration, and building enterprise-grade banking solutions with NoSQL backends.

At GSK, I developed an internal web application to support the vaccine division in managing workflows, tracking production metrics, and ensuring compliance with internal protocols. The application was built using Next.js for the front end and Node.js for the back end, providing fast, dynamic interfaces for internal staff. I implemented SQL databases, GraphQL APIs, and integrated real-time data updates to help teams make informed decisions quickly. I also ensured high code quality through automated testing and CI/CD pipelines, improving maintainability and reliability.

This project highlights my experience in full-stack development, internal enterprise tools, Next.js, Node.js, real-time data integration, and delivering solutions that improve operational efficiency in the pharmaceutical industry.

At Total Energies, I developed and maintained mobile and web applications to support operational management and propane supply tracking across Europe.

The platform enabled field teams and headquarters to ingest, process, and analyze CSV/JSON datasets, manage workflows, and receive real-time notifications. I implemented back-end services in Python 3 and Rust for document parsing, ETL workflows, and API integration with internal energy systems, ensuring seamless data flow and operational efficiency. Using React Native, I developed mobile features supporting offline data handling and real-time synchronization with back-end services. I also contributed to event-driven architecture for notifications and alerts, managed CI/CD pipelines, optimized PostgreSQL schemas, and ensured smooth deployment to the Google Play Store and Apple App Store.