Phd, experienced Software Backend Engineer (Rust, Go, Python, C/C++) with expertise in Machine Learning, LLM development, and MLOps/LLMOps.
Aktualisiert am 31.01.2025
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.03.2025
Verfügbar zu: 100%
davon vor Ort: 10%
Software-Entwicklung
Machine Learning
Deep Learning
AWS
Google Cloud
DevOps
Cloud Computing
Rust
C++
Python
Embedded Systems
Embedded Linux
Internet of Things
PostgreSQL
TensorFlow
ChatGPT
German
mother tongue
English
fluent

Einsatzorte

Einsatzorte

Aachen (+100km) Köln (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 Jahre 7 Monate
2022-04 - 2024-10

Data Pipeline Development

Backend Software Engineer Data Scientist Rust PostgreSQL ...
Backend Software Engineer

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 Scientist Rust PostgreSQL Software-Entwicklung Business Intelligence Continuous Delivery Continuous Integration Datawarehouse Kubernetes Machine Learning Python Helm Go Docker
Dock Financial GmbH
München (remote)
6 Monate
2021-10 - 2022-03

Software as Kubernetes, Terraform, Ansible, and Jenkins

DevOps Engineer Kubernetes Helm Grafana ...
DevOps Engineer

  • 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.

Kubernetes Helm Grafana Prometheus Ansible Python Go Elastic Search DevOps Cloud AWS Terraform Apache Cassandra MongoDB PostgreSQL
Lancom GmbH
Würselen
3 Jahre 6 Monate
2018-04 - 2021-09

I was responsible for developing a robust firmware stack

Senior Software Engineer C C++ Python ...
Senior Software Engineer

  • I worked at DSA Daten- und Systemtechnik GmbH as a Senior Software Engineer, where I was responsible for developing a robust firmware stack based on Embedded Linux using Yocto. My work encompassed a wide range of tasks, including configuring and customizing the U-Boot bootloader, optimizing and maintaining the Linux Kernel, and developing applications tailored for embedded environments. Additionally, I managed cross-compilation build processes, implemented containerization solutions using LXC and Docker, and streamlined continuous integration workflows with Jenkins. 
  • These contributions ensured the creation of a reliable, scalable, and efficient firmware solution for embedded systems.
C C++ Python Go Bourne-again-shell Yocto Embedded Linux Bootloader Linux-Kernel Scriptsprachen
DSA Daten- und Systemtechnik GmbH
Oberforstbach
1 Jahr 1 Monat
2017-01 - 2018-01

I worked on extending a sequential profiler

Compiler Engineer C C++ Python ...
Compiler Engineer
  • I worked on extending a sequential profiler written in C to support the profiling of multi-threaded applications utilizing Pthreads. This involved adapting the profiler to accurately trace and analyze parallel execution flows, ensuring compatibility with thread creation, synchronization primitives, and shared memory access. 
  • The enhancement enabled the profiler to provide detailed insights into the performance and behavior of multi-threaded code, significantly expanding its usability for modern concurrent applications.
C C++ Python Parallel Processing
Silexica GmbH
Ehrenfeld (Deutschland)
1 Jahr 10 Monate
2015-03 - 2016-12

I was responsible for implementing secure network communication

Senior Software Engineer C C++ Jenkins ...
Senior Software Engineer
  • I was responsible for implementing secure network communication by utilizing TLS and SSH libraries to ensure data confidentiality and integrity across systems. Additionally, I developed a robust solution for digitally signing PNG images, enhancing their authenticity and protection against tampering. 
  • These contributions strengthened the overall security and reliability of the system's communication and data handling processes.
C C++ Jenkins Firmware Netzwerk Netzwerk/Sicherheit SSL
Cognex GmbH Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

02/2015:

Research Staff Member, Computer Science 12 - Software and Tools for Computational Engineering (STCE)

RWTH Aachen University, Germany


Key Focus:

  • PhD in computer science with the dissertation ?on request?, grade ?magna cum laude?, Publisher: on request.
  • Project work: Implementation of sourcecode transformations which implements the technique called algorithmic differentiation.
  • Teaching: C++, compiler construction, parallel programming with OpenMP and MPI, scientific tools like IPOPT, GSL, Qt, gnuplot


05/2009:

computer science

Master of science

RWTH Aachen University


Key Focus:

  • Thesis: ?on request? in a collaboration with the European Microsoft Innovation Center (EMIC), Aachen, Germany.
  • Major: High performance computing in science, automatic differentiation
  • Minor: Applied mathematics (cryptography, stochastic simulation, information theory)
  • Theory: Compiler construction, static program analysis, efficient algorithms
  • Practice: Telecommunication, mobile radio and performance analysis

Position

Position

I am an experienced Software Backend Engineer with over a decade of professional experience, blending robust software engineering expertise with a strong focus on machine learning and cutting-edge AI technologies. My proficiency spans across multiple programming languages, including Rust, Go, Python, and C/C++, allowing me to design and develop high-performance, scalable solutions tailored to complex problems.

My expertise lies in:

Backend Development: Designing and implementing scalable, high-performance backend systems, focusing on reliability, efficiency, and maintainability. I have a deep understanding of API design, microservice architectures, and distributed systems.

Machine Learning & LLM Development: Leveraging my skills to develop and fine-tune Large Language Models (LLMs) and machine learning pipelines. I excel in combining modern ML frameworks like TensorFlow and PyTorch with efficient data processing to achieve meaningful results.

MLOps & LLMOps: Ensuring smooth deployment and lifecycle management of ML models in production environments. I bring expertise in containerization (Docker, Kubernetes), CI/CD pipelines, and infrastructure tools such as Terraform and Ansible to automate and streamline operations.

Parallel Programming & Optimization: My background includes extensive work in multicore and network programming, parallel programming with Rust async/await, OpenMP, MPI, and PThreads. I am passionate about optimizing software for maximum performance.

Throughout my career, I have contributed to various industries, including fintech, computer vision, embedded systems and distributed systems. Highlights of my professional journey include:

Fintech: As a Backend Software Engineer I was part of a team which developed a high-performance banking software platform using Rust, which processes financial transactions seamlessly, ensuring security, efficiency, and scalability.

Embedded Systems: I have experience in working with firmwares, creating Embedded Linux with Yocto, and tackling challenges such as bootloaders, containerization with LXC and Docker, and kernel development.

In addition to professional accomplishments, I hold a PhD in Computer Science from RWTH Aachen University, where my research focused on algorithmic differentiation?a cornerstone of modern deep learning frameworks. My academic and professional background reflects my dedication to computational optimization, scalable system design, and innovative problem-solving.

I am passionate about continuous learning and leveraging the latest technologies to solve complex challenges. Whether developing backend systems, deploying AI models, or optimizing distributed architectures, I bring a results-driven mindset to every project.

My technical skills include:

- Programming Languages: Rust, Python, Go, C/C++
- Machine Learning Frameworks: TensorFlow, PyTorch, Sklearn
- Infrastructure Tools: Terraform, Ansible, Prometheus, Grafana
- Containerization & Orchestration: Docker, Kubernetes
- Operating Systems: Linux (Ubuntu, Debian)
- Parallel Programming: OpenMP, MPI, Rust async/await

Fluent in English and a native German speaker, I am also a strong communicator who thrives in collaborative environments. Outside of work, I enjoy motocross, jogging, and staying updated on the latest trends in technology.

Kompetenzen

Kompetenzen

Top-Skills

Software-Entwicklung Machine Learning Deep Learning AWS Google Cloud DevOps Cloud Computing Rust C++ Python Embedded Systems Embedded Linux Internet of Things PostgreSQL TensorFlow ChatGPT

Produkte / Standards / Erfahrungen / Methoden

Profile

  • Innovative computer scientist with a PhD in Computer Science and over 10 years of experience in software engineering, distributed systems, and Linux environments. Proficient in modern technologies such as Rust, Golang, Python, and C/C++, with expertise in multicore and network programming, containerization, and building scalable architectures. 
  • Recently earned the Professional Machine Learning Engineer Certification, reflecting a strong commitment to advancing knowledge in machine learning. My doctoral research focused on automatic differentiation, a cornerstone of modern deep learning frameworks, showcasing my proficiency in computational optimization and its real-world applications.


Other Abilities and Skills

Machine Learning:

  • Numpy - good knowledge
  • Pandas - good knowledge
  • Sklearn - good knowledge
  • Tensorflow 2 - good knowledge


Infrastructure Tooling:

  • Terraform - good knowledge
  • Ansible - good knowledge
  • Graphana - good knowledge
  • Prometheus - good knowledge


Container technologies:

  • Docker - very good knowledge
  • LXC - very good knowledge
  • Kubernetes - very good knowledge


Parallel programming

  • Rust async/await - very good knowledge
  • OpenMP - very good knowledge
  • PThreads - very good knowledge
  • MPI - very good knowledge


Work Experience

04/2022 - 10/2024:

Role: Backend Software Engineer 

Customer: Dock Financial GmbH


Tasks:

where I co-developed a highperformance banking software platform from the ground up using Rust for optimal security and efficiency. The platform processes financial card transactions and provides advanced banking features. Key contributions include:

  • Data Pipeline Development: Designed and implemented robust pipelines and controls for seamless financial transaction processing.
  • API Design & Integration: Built and exposed the service API via HTTP APIs, and implemented efficient inter-service communication using gRPC.
  • Database Management: Ensured data integrity and scalability using PostgreSQL.
  • Cloud-Native Deployment: Deployed microservices on a Kubernetes cluster, ensuring high availability and scalability.
  • Monitoring and Observability: Maintained system health with real-time monitoring and analytics using Prometheus and Grafana.


10/2021 - 03/2022:

Role: DevOps Engineer 

Customer: LANCOM GmbH


Tasks:

  • The main task as a DevOps Engineer at LANCOM GmbH was to maintain and support the company?s Management Cloud which is connected to thousands of network devices worldwide. 
  • Software as Kubernetes, Terraform, Ansible, and Jenkins were part of my daily responsibilities.


04/2018 - 09/2021:

Role: Senior Software Engineer

Customer: DSA Daten- und Systemtechnik GmbH


Tasks:

  • I worked at DSA Daten- und Systemtechnik GmbH as Senior Software Engineer responsible for establishing a firmware based on Embedded Linux with help of Yocto. 
  • This work included tasks as U-Boot bootloader, Linux Kernel, application development, cross-compiling build processes, containerization with LXC and Docker, and CI with Jenkins.


01/2017 - 01/2018:

Role: Compiler Engineer 

Customer: Silexica, a startup company 


Tasks:

  • which was later acquired by AMD. In this role I extended a profiling software for sequential programs such that it was able to profile also multi-threaded code.


03/2015 - 12/2016:

Role: Senior Software Engineer 

Customer: Cognex GmbH Germany, a world-leading computer vision company. 


Tasks:

  • I was responsible for implementing secure network communication with the help of TLS and SSH libraries. In addition, a digital signature of PNG images was also part of my work.

Betriebssysteme

Linux (Debian, Ubuntu)
very good knowledge

Programmiersprachen

Rust
very good knowledge
Python
very good knowledge
C
very good knowledge
C++
very good knowledge
Golang
very good knowledge

Einsatzorte

Einsatzorte

Aachen (+100km) Köln (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 Jahre 7 Monate
2022-04 - 2024-10

Data Pipeline Development

Backend Software Engineer Data Scientist Rust PostgreSQL ...
Backend Software Engineer

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 Scientist Rust PostgreSQL Software-Entwicklung Business Intelligence Continuous Delivery Continuous Integration Datawarehouse Kubernetes Machine Learning Python Helm Go Docker
Dock Financial GmbH
München (remote)
6 Monate
2021-10 - 2022-03

Software as Kubernetes, Terraform, Ansible, and Jenkins

DevOps Engineer Kubernetes Helm Grafana ...
DevOps Engineer

  • 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.

Kubernetes Helm Grafana Prometheus Ansible Python Go Elastic Search DevOps Cloud AWS Terraform Apache Cassandra MongoDB PostgreSQL
Lancom GmbH
Würselen
3 Jahre 6 Monate
2018-04 - 2021-09

I was responsible for developing a robust firmware stack

Senior Software Engineer C C++ Python ...
Senior Software Engineer

  • I worked at DSA Daten- und Systemtechnik GmbH as a Senior Software Engineer, where I was responsible for developing a robust firmware stack based on Embedded Linux using Yocto. My work encompassed a wide range of tasks, including configuring and customizing the U-Boot bootloader, optimizing and maintaining the Linux Kernel, and developing applications tailored for embedded environments. Additionally, I managed cross-compilation build processes, implemented containerization solutions using LXC and Docker, and streamlined continuous integration workflows with Jenkins. 
  • These contributions ensured the creation of a reliable, scalable, and efficient firmware solution for embedded systems.
C C++ Python Go Bourne-again-shell Yocto Embedded Linux Bootloader Linux-Kernel Scriptsprachen
DSA Daten- und Systemtechnik GmbH
Oberforstbach
1 Jahr 1 Monat
2017-01 - 2018-01

I worked on extending a sequential profiler

Compiler Engineer C C++ Python ...
Compiler Engineer
  • I worked on extending a sequential profiler written in C to support the profiling of multi-threaded applications utilizing Pthreads. This involved adapting the profiler to accurately trace and analyze parallel execution flows, ensuring compatibility with thread creation, synchronization primitives, and shared memory access. 
  • The enhancement enabled the profiler to provide detailed insights into the performance and behavior of multi-threaded code, significantly expanding its usability for modern concurrent applications.
C C++ Python Parallel Processing
Silexica GmbH
Ehrenfeld (Deutschland)
1 Jahr 10 Monate
2015-03 - 2016-12

I was responsible for implementing secure network communication

Senior Software Engineer C C++ Jenkins ...
Senior Software Engineer
  • I was responsible for implementing secure network communication by utilizing TLS and SSH libraries to ensure data confidentiality and integrity across systems. Additionally, I developed a robust solution for digitally signing PNG images, enhancing their authenticity and protection against tampering. 
  • These contributions strengthened the overall security and reliability of the system's communication and data handling processes.
C C++ Jenkins Firmware Netzwerk Netzwerk/Sicherheit SSL
Cognex GmbH Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

02/2015:

Research Staff Member, Computer Science 12 - Software and Tools for Computational Engineering (STCE)

RWTH Aachen University, Germany


Key Focus:

  • PhD in computer science with the dissertation ?on request?, grade ?magna cum laude?, Publisher: on request.
  • Project work: Implementation of sourcecode transformations which implements the technique called algorithmic differentiation.
  • Teaching: C++, compiler construction, parallel programming with OpenMP and MPI, scientific tools like IPOPT, GSL, Qt, gnuplot


05/2009:

computer science

Master of science

RWTH Aachen University


Key Focus:

  • Thesis: ?on request? in a collaboration with the European Microsoft Innovation Center (EMIC), Aachen, Germany.
  • Major: High performance computing in science, automatic differentiation
  • Minor: Applied mathematics (cryptography, stochastic simulation, information theory)
  • Theory: Compiler construction, static program analysis, efficient algorithms
  • Practice: Telecommunication, mobile radio and performance analysis

Position

Position

I am an experienced Software Backend Engineer with over a decade of professional experience, blending robust software engineering expertise with a strong focus on machine learning and cutting-edge AI technologies. My proficiency spans across multiple programming languages, including Rust, Go, Python, and C/C++, allowing me to design and develop high-performance, scalable solutions tailored to complex problems.

My expertise lies in:

Backend Development: Designing and implementing scalable, high-performance backend systems, focusing on reliability, efficiency, and maintainability. I have a deep understanding of API design, microservice architectures, and distributed systems.

Machine Learning & LLM Development: Leveraging my skills to develop and fine-tune Large Language Models (LLMs) and machine learning pipelines. I excel in combining modern ML frameworks like TensorFlow and PyTorch with efficient data processing to achieve meaningful results.

MLOps & LLMOps: Ensuring smooth deployment and lifecycle management of ML models in production environments. I bring expertise in containerization (Docker, Kubernetes), CI/CD pipelines, and infrastructure tools such as Terraform and Ansible to automate and streamline operations.

Parallel Programming & Optimization: My background includes extensive work in multicore and network programming, parallel programming with Rust async/await, OpenMP, MPI, and PThreads. I am passionate about optimizing software for maximum performance.

Throughout my career, I have contributed to various industries, including fintech, computer vision, embedded systems and distributed systems. Highlights of my professional journey include:

Fintech: As a Backend Software Engineer I was part of a team which developed a high-performance banking software platform using Rust, which processes financial transactions seamlessly, ensuring security, efficiency, and scalability.

Embedded Systems: I have experience in working with firmwares, creating Embedded Linux with Yocto, and tackling challenges such as bootloaders, containerization with LXC and Docker, and kernel development.

In addition to professional accomplishments, I hold a PhD in Computer Science from RWTH Aachen University, where my research focused on algorithmic differentiation?a cornerstone of modern deep learning frameworks. My academic and professional background reflects my dedication to computational optimization, scalable system design, and innovative problem-solving.

I am passionate about continuous learning and leveraging the latest technologies to solve complex challenges. Whether developing backend systems, deploying AI models, or optimizing distributed architectures, I bring a results-driven mindset to every project.

My technical skills include:

- Programming Languages: Rust, Python, Go, C/C++
- Machine Learning Frameworks: TensorFlow, PyTorch, Sklearn
- Infrastructure Tools: Terraform, Ansible, Prometheus, Grafana
- Containerization & Orchestration: Docker, Kubernetes
- Operating Systems: Linux (Ubuntu, Debian)
- Parallel Programming: OpenMP, MPI, Rust async/await

Fluent in English and a native German speaker, I am also a strong communicator who thrives in collaborative environments. Outside of work, I enjoy motocross, jogging, and staying updated on the latest trends in technology.

Kompetenzen

Kompetenzen

Top-Skills

Software-Entwicklung Machine Learning Deep Learning AWS Google Cloud DevOps Cloud Computing Rust C++ Python Embedded Systems Embedded Linux Internet of Things PostgreSQL TensorFlow ChatGPT

Produkte / Standards / Erfahrungen / Methoden

Profile

  • Innovative computer scientist with a PhD in Computer Science and over 10 years of experience in software engineering, distributed systems, and Linux environments. Proficient in modern technologies such as Rust, Golang, Python, and C/C++, with expertise in multicore and network programming, containerization, and building scalable architectures. 
  • Recently earned the Professional Machine Learning Engineer Certification, reflecting a strong commitment to advancing knowledge in machine learning. My doctoral research focused on automatic differentiation, a cornerstone of modern deep learning frameworks, showcasing my proficiency in computational optimization and its real-world applications.


Other Abilities and Skills

Machine Learning:

  • Numpy - good knowledge
  • Pandas - good knowledge
  • Sklearn - good knowledge
  • Tensorflow 2 - good knowledge


Infrastructure Tooling:

  • Terraform - good knowledge
  • Ansible - good knowledge
  • Graphana - good knowledge
  • Prometheus - good knowledge


Container technologies:

  • Docker - very good knowledge
  • LXC - very good knowledge
  • Kubernetes - very good knowledge


Parallel programming

  • Rust async/await - very good knowledge
  • OpenMP - very good knowledge
  • PThreads - very good knowledge
  • MPI - very good knowledge


Work Experience

04/2022 - 10/2024:

Role: Backend Software Engineer 

Customer: Dock Financial GmbH


Tasks:

where I co-developed a highperformance banking software platform from the ground up using Rust for optimal security and efficiency. The platform processes financial card transactions and provides advanced banking features. Key contributions include:

  • Data Pipeline Development: Designed and implemented robust pipelines and controls for seamless financial transaction processing.
  • API Design & Integration: Built and exposed the service API via HTTP APIs, and implemented efficient inter-service communication using gRPC.
  • Database Management: Ensured data integrity and scalability using PostgreSQL.
  • Cloud-Native Deployment: Deployed microservices on a Kubernetes cluster, ensuring high availability and scalability.
  • Monitoring and Observability: Maintained system health with real-time monitoring and analytics using Prometheus and Grafana.


10/2021 - 03/2022:

Role: DevOps Engineer 

Customer: LANCOM GmbH


Tasks:

  • The main task as a DevOps Engineer at LANCOM GmbH was to maintain and support the company?s Management Cloud which is connected to thousands of network devices worldwide. 
  • Software as Kubernetes, Terraform, Ansible, and Jenkins were part of my daily responsibilities.


04/2018 - 09/2021:

Role: Senior Software Engineer

Customer: DSA Daten- und Systemtechnik GmbH


Tasks:

  • I worked at DSA Daten- und Systemtechnik GmbH as Senior Software Engineer responsible for establishing a firmware based on Embedded Linux with help of Yocto. 
  • This work included tasks as U-Boot bootloader, Linux Kernel, application development, cross-compiling build processes, containerization with LXC and Docker, and CI with Jenkins.


01/2017 - 01/2018:

Role: Compiler Engineer 

Customer: Silexica, a startup company 


Tasks:

  • which was later acquired by AMD. In this role I extended a profiling software for sequential programs such that it was able to profile also multi-threaded code.


03/2015 - 12/2016:

Role: Senior Software Engineer 

Customer: Cognex GmbH Germany, a world-leading computer vision company. 


Tasks:

  • I was responsible for implementing secure network communication with the help of TLS and SSH libraries. In addition, a digital signature of PNG images was also part of my work.

Betriebssysteme

Linux (Debian, Ubuntu)
very good knowledge

Programmiersprachen

Rust
very good knowledge
Python
very good knowledge
C
very good knowledge
C++
very good knowledge
Golang
very good knowledge

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