10.11.2025 aktualisiert
nicht verfügbar
KI Entwickler / AI Software Engineer / Machine Learning / LLM Devloper / MLOps / DevSecOps
Simmerath, Deutschland
Weltweit
Dr. rer. nat.Über mich
Erfahrener Software-Backend-Engineer mit Promotion in Informatik und Expertise in Machine Learning, LLM-Entwicklung sowie MLOps/LLMOps. Versiert in Rust, Go, Python, C/C++ und dem Design skalierbarer Systeme.
Skills
APIsKünstliche IntelligenzComputer VisionC++CompilerDevopsElasticsearchEmbedded SystemsEmbedded LinuxGNU Compiler CollectionPythonPostgresqlMachine LearningMathematikParallel ComputingPrometheusSoftwareentwicklungParallelverarbeitungGoogle CloudApache CassandraLarge Language ModelsGrafanaBackendYoctoKubernetesMachine Learning OperationsScientific ProgrammingLxcKibanaRestful ApisLANCOM SoftwareDockerJenkinsGolangMicroservices
Software Engineering
Umfangreiche Erfahrung in der Entwicklung von Software, insbesondere in den Bereichen Micro Services, Backend, Embedded Systems, Compiler, und Computer Vision.
Machine Learning
Zertifizierter Google Cloud Professional Machine Learning Engineer mit Expertise in der Anwendung von KI-Technologien und MLOps und LLMOps.
Informatik und Mathematik
Promotion in Informatik, fundierte Kenntnisse in Informatik und Mathematik, mit Spezialisierung auf Mobilfunk.
Compiler-Entwicklung
Erfahrung in der Entwicklung von Compilern.
DevOps
Praktische Erfahrung in DevOps-Prozessen und -Tools bei LANCOM GmbH.
Embedded Linux und Yocto
Spezialisierung auf Daten- und Systemtechnik bei DSA GmbH.
Fintech / Card Payment Transactions
Erfahrung in der Entwicklung von Finanzsoftware bei Dock Financial GmbH mithilfe der Programmiersprache Rust.
Umfangreiche Erfahrung in der Entwicklung von Software, insbesondere in den Bereichen Micro Services, Backend, Embedded Systems, Compiler, und Computer Vision.
Machine Learning
Zertifizierter Google Cloud Professional Machine Learning Engineer mit Expertise in der Anwendung von KI-Technologien und MLOps und LLMOps.
Informatik und Mathematik
Promotion in Informatik, fundierte Kenntnisse in Informatik und Mathematik, mit Spezialisierung auf Mobilfunk.
Compiler-Entwicklung
Erfahrung in der Entwicklung von Compilern.
DevOps
Praktische Erfahrung in DevOps-Prozessen und -Tools bei LANCOM GmbH.
Embedded Linux und Yocto
Spezialisierung auf Daten- und Systemtechnik bei DSA GmbH.
Fintech / Card Payment Transactions
Erfahrung in der Entwicklung von Finanzsoftware bei Dock Financial GmbH mithilfe der Programmiersprache Rust.
Sprachen
DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnisse
Projekthistorie
Com-Science unterstützt kleine und mittlere Unternehmen dabei, das Potenzial von Künstlicher Intelligenz und modernen IT-Lösungen praktisch nutzbar zu machen – von Beratung bis hin zur Umsetzung individueller Lösungen.
As a Backend Software Engineer at Dock Financial GmbH, I played a key role in designing and building a high-performance banking software platform from the ground up using Rust, prioritizing security, efficiency, and scalability. This platform processes financial card transactions seamlessly while offering advanced banking features. My key contributions included:
- Data Pipeline Development: Designed and implemented robust and fault-tolerant data pipelines to ensure seamless and reliable financial transaction processing.
- API Design & Integration: Developed and exposed service APIs via HTTP, and implemented efficient inter-service communication using gRPC for streamlined system interactions.
- Database Management: Ensured data integrity, optimized performance, and achieved scalability by leveraging PostgreSQL for core database operations.
- Cloud-Native Deployment: Deployed and managed microservices in a Kubernetes environment, ensuring high availability, scalability, and operational reliability.
- Monitoring and Observability: Established real-time monitoring and analytics using Prometheus and Grafana to maintain system health, identify issues proactively, and ensure smooth operations.
These contributions were instrumental in delivering a secure, scalable, and efficient platform tailored to the complex demands of modern financial systems.
- Data Pipeline Development: Designed and implemented robust and fault-tolerant data pipelines to ensure seamless and reliable financial transaction processing.
- API Design & Integration: Developed and exposed service APIs via HTTP, and implemented efficient inter-service communication using gRPC for streamlined system interactions.
- Database Management: Ensured data integrity, optimized performance, and achieved scalability by leveraging PostgreSQL for core database operations.
- Cloud-Native Deployment: Deployed and managed microservices in a Kubernetes environment, ensuring high availability, scalability, and operational reliability.
- Monitoring and Observability: Established real-time monitoring and analytics using Prometheus and Grafana to maintain system health, identify issues proactively, and ensure smooth operations.
These contributions were instrumental in delivering a secure, scalable, and efficient platform tailored to the complex demands of modern financial systems.
As a DevOps Engineer at LANCOM GmbH, my primary responsibility was maintaining and supporting the company’s Management Cloud, which connects to thousands of network devices worldwide. My daily work focused on ensuring the reliability and scalability of the infrastructure, including managing robust PostgreSQL clusters, Kubernetes deployments, and configuration automation with Ansible. I implemented and maintained monitoring and observability solutions using Grafana and Prometheus, optimized data storage with Cassandra, and streamlined log management using the ELK stack (Elasticsearch, Logstash, Kibana). These efforts ensured high availability, performance, and seamless operation of the cloud infrastructure.