Dominik Winter

Responsible for cloud-native full-stack software development with focus on secure and scalable microservice architectures (Rust backend, TypeScript frontend) on top of Kubernetes, as well as for everything DevOps related and test automation. Supervising thesis on machine learning based user anomaly detection. Supervising working students.

Title: Edge Computing in the Robot-Based, Additive Manufaturing for Multivariate Data Analysis and Anomaly Detection Development of an hybrid Cloud / Edge-based anomaly detection system for the Wire Arc Additive Manufacturing process (WAAM). Development of a multiprocessing based data fusion layer for real time process analysis of multiple sensors. Developing machine learning models and autoencoders for unsupervised in-process anomaly detection of sensor data using Tensorflow. Grade: 1.0 / A+

Student researcher on the following topics: Cloud Computing/Security, Virtualized Network Functions, Unikernel, Rumpkernel. Interdisciplinary practical course (IDP) in cooperation with the TUM and genua about Cloud security and performance measurements in different Container environments (Kubernetes, Docker Swarm) and with different Container runtimes (runc, Kata). Development of Intel DPDK accelerated Network Functions (VPN IKE loadbalancing) with Golang (go-nff).

In our project I was responsible for the Python backend, the PostgreSQL database and the Kubernetes setup in the Microsoft Azure cloud. Link to the repository: https://github.com/domWinter/wirvsvirushackathon Link to the project: https://devpost.com/software/0_24_krankenhauser_bettenverfugbarkeitsvisualisierung

Implementation and evaluation of a HTTP-relay as virtualized network function. Comparison between Docker container, NetBSD rump kernel and VM in the course of a cooperative bachelor thesis with the Technical University of Munich and the genua gmbh. Implementation of the programming language perl for rumprun unikernels. Grade: 1.0 / A+

Implementation of automated regression tests with Ruby, JavaScript and the Selenium webdriver for a security central management station.

Integration of an ubuntu based LDAP server in the training environment of the genua gmbh. Implementation of automated regression tests with Ruby, JavaScript and the Selenium webdriver.

Focus on IT-Security, Machine Learning, Distributed Systems Grade: 1.2 (top 3%) with high distinction / Thesis: 1.0

Focus on IT-Security