Overview
- Over 10 years of professional software engineering experience
- Lecturing Software Architecture for Big Data Systems at the department for Artificial Intelligence Solutions
- Spearheaded the establishment of the software engineering department for a MedTech startup as Tech Lead
- Master of Science in Data Science & Engineering, Bachelor of Science in Mobile Computing and a software engineering degree
Data Science
Specialized in highly parallel log template mining and automated data analysis pipelines. Data science tasks may include: Interpreting data, generating insight via diagrams & statistics, as well as machine learning and model creation.
Software Engineering
Focused on software architecture with future maintainability in mind. Software engineering work spans from containerized GoLang services, over critical client Cython binaries (Over the air update capability, remote diagnosis), to custom embedded Linux distributions.
Tracing and observability are foundational building blocks in all production worthy software projects I've worked on. I've implement OpenTelemetry Tracing, Metrics and Monitoring for cloud environments, been deeply involved in bringing structured logging to embedded firmware and automatically detecting failures, as well as alerting in near real time.
Cloud Engineering
Creating the architecture for cloud systems from the ground up. Managing Linux servers, orchestrating containers across clusters (Docker Swarm, Kubernetes), application proxies, managing traffic ingress and setting up configuration management using Ansible.
Automation / DevOps plays a key role in my engineering philosophy CI/CD pipelines I have worked on range from: Documentation generation, API testing, API fuzzing, container creation and deployment, over to containerized cross compiling (ARM), automated on-embedded hardware testing and OTA rollout strategies.
Academical Work
Lecturing Software Architecture for Big Data Systems (Department of Artificial Intelligence Solutions @ University of Applied Sciences Upper Austria, Campus Hagenberg).
Research projects focused on: Financial market analysis (semantical & technical), highly parallel log mining algorithms, anomaly detection, implementing open-source Bluetooth utilities, et cetera..