AI & Machine Learning Specialist | Software Engineer | .NET Developer

12/2023 – offen

Focused on acquiring and applying expertise in artificial intelligence and machine learning through certifications, practical projects, and the development of reusable tools and workflows.

Designed and implemented machine learning pipelines for end-to-end workflows, addressing tasks like rental price prediction, customer churn analysis, and multilingual sentiment analysis.

Conducted deep learning projects on image classification, sentiment analysis, and neural machine translation, leveraging frameworks such as TensorFlow and PyTorch.

Developed NLP solutions, including sentiment analysis, translation pipelines, and part-of-speech tagging, using state-of-the-art transformer models.

Showcased MLOps capabilities by integrating tools like MLflow, Weights & Biases, and FastAPI for scalable, production-ready machine learning solutions.

Built and refined a recommendation system starting from matrix factorization to advanced methods like Neural Collaborative Filtering (NCF) and Hybrid NCF models.

Created and maintained code templates for tasks like data cleaning, preprocessing, model evaluation, and API deployment, ensuring reusability and efficiency in future projects.

This hands-on experience demonstrates a comprehensive understanding of AI/ML principles, tools, and frameworks, supported by a strong commitment to building scalable and impactful solutions.


You can find some code examples on my public GitHub Repository:

-Hyperlink entfernt-

Computer Vision, Data Scientist, Generative KI, Machine Learning Engineer, MLOps, Natural Language Processing, Pytorch, Scikit-learn, Tensorflow

1/2021 – 10/2024

Project Overview:
Design, development, and integration of a custom API management solution tailored for internal IT operations. The solution serves as a frontend interface for various API platforms, including Azure API Management, and extends existing software tools to streamline internal business processes. The goal was to enhance the efficiency and scalability of API management while ensuring seamless integration with the existing Azure-based infrastructure.

My Responsibilities:

Design and Development: Created a robust backend infrastructure for software solutions within the Azure ecosystem, ensuring scalability and performance.

Extension of Existing Tools: Enhanced and adapted existing software solutions to support evolving business processes and requirements.

Process Optimization: Collaborated with cross-functional teams to identify and implement improvements in internal workflows through advanced software tooling.

Technologies and Tools Used:

Azure DevOps: Managed CI/CD pipelines for deployment and monitoring.

Azure Cloud Services: Designed and deployed solutions leveraging Azure services for scalability and reliability.

Terraform (HashiCorp): Used for infrastructure as code to automate the provisioning of Azure resources.

Domain-Driven Design (DDD): Applied DDD principles to structure the backend for maintainability and clarity.

.NET: Developed backend components and APIs for the solution.

Outcome:
Delivered a scalable and maintainable API management system that improved the efficiency of internal IT operations. The project contributed to better integration of APIs across platforms and supported the optimization of internal business workflows.

DevOps, .Net, C#, Microsoft Azure

6/2018 – 1/2021

Project Overview:
This project focused on developing and enhancing a workflow-driven solution for application processing. The aim was to introduce new technologies, extend the functionality of the existing software, and design a modern architecture to transition to a microservice-based distributed platform. The project also involved prototyping new concepts, establishing the architecture, and providing expertise in identity management.

My Responsibilities:

Enhancement of Existing Systems:

Extended the functionality of the existing software solution to meet evolving business requirements.

Improved the robustness and scalability of the workflow-based backend system built with .NET Workflow Solutions.

Design and Implementation of a New Architecture:

Designed a modern, microservice-based distributed service platform to replace the monolithic architecture.

Developed a prototype to demonstrate the feasibility and benefits of the new architecture, highlighting improved modularity, scalability, and maintainability.

Established the architecture by aligning it with Domain-Driven Design (DDD) principles to ensure clear separation of concerns and scalability.
Identity Management and Advisory:

Provided consultation and developed concepts for identity management to streamline user authentication and authorization.
Introduced best practices for integrating identity management into the new platform architecture.

Training and Knowledge Transfer:

Conducted trainings and presentations to familiarize team members and stakeholders with the new technologies, architecture, and processes.
Ensured smooth onboarding and knowledge transfer to enable long-term adoption of the new systems and practices.

Technologies and Tools Used:

Domain-Driven Design (DDD): Structured the architecture and development process to reflect the domain's complexities.

.NET Workflow Solutions: Backend system for managing complex workflows and automating application processing tasks.

WinForms: Frontend development for user-facing application components.

Outcome:
Delivered a comprehensive transformation of the application processing system, introducing modern architecture and technologies while maintaining compatibility with existing solutions. The new microservice-based platform enhanced flexibility, scalability, and maintainability. The project also provided the organization with improved identity management solutions and prepared the team for long-term adoption through detailed training and knowledge sharing.

Software Architecture, .Net, Software engineering / -technik