Martin Zöllig

- planning and implementation of payroll systems in a Kanban flow - Fullstack development, TDD -- Backend: FP-oriented system with Scala, Akka, Play, Kafka, Slick/Quill, HTTP REST API -- Frontend: TypeScript, Angular, HTML/CSS, -- PostgreSQL-DB (table definitions / DDL, query optimization / index optimization) - defining / maintaining the build pipeline -- build process in CircleCI -- Docker / Kubernetes templates 3rd-Level-Support -- Monitoring with NewRelic / Sentry -- DB analysis / Debugging

software development for payment, book-keeping, logistics; backend: microservices as Java-based Maven modules with Spring Boot in a cloud infrastructure; frontend: web applications for administrative processes, with Node.js, Angular, Bootstrap, TypeScript, CoffeeScript; connection through HTTP/REST APIs and messaging; process: agile planning, unit testing and coding (Java/JUnit, PHP/phpunit, JS/Karma/Jasmine), integration testing (Spring), system testing (Vagrant/VirtualBox), peer-review (GitHub)

agile software development (back- and frontend) and project management for sensor-based digital health applications; continued development of Java applications in health domain; additional responsibilities: project management, budget negotiations, planning, purchasing of goods, reporting; planning and leading workshops/meetings about requirement engineering, user stories / business cases, psychological, sociological, technical, health-related circumstances of digital health applications

agile software development (back- and frontend) for sensor-based digital health applications; for example virtual cycling races, telemedical monitoring, movement training; backend: modelling with EMF, physical simulation (coding of geo information, player model); frontend: GWT, JS, Google Maps / Google Earth, DMX-based light effects; cooperation with research institutes, telecom providers, hospitals, insurances; public presentations (CeBIT Hannover/Eurasia, LndW, AAL congress, in-house)

agent-oriented technology, sensor-based health applications, artificial intelligence