Experience Expert Knowledge Firsthand

Simon Kroll is an experienced data scientist specializing in the intersection of natural and artificial languages such as Python. He is distinguished by his outstanding skills in analyzing large datasets and applying machine learning. Simon has an impressive academic background with a wealth of international experience (Paris, Santiago de Compostela, Pamplona, Vienna, Heidelberg).

He possesses in-depth knowledge of programming languages such as Python, as well as NLP and other statistical methods. His international experience, multilingual proficiency (Spanish, English, French, and Hungarian), and published works underscore his expertise and versatility. Simon’s ability to work well in a team, strong communication skills, and dedication make him a valuable member of FIDA.

Area of Specialization and Expertise:

• Python

• Machine Learning

• Large Language Models

• Prompt engineering

• NLP

Principal Consultant, BI / Data Integration

With a Master of Science in Computer Science and more than 15 years of experience in business intelligence (BI) and data warehousing, Christian Luther is a recognized expert in the field of data integration. His extensive professional experience is reflected in his in-depth knowledge and skills in the analysis, management, and optimization of large-scale data processing.

For over ten years, Christian has served as a project manager in the field of BI/data integration. In this role, he leads teams and projects focused on ETL development in complex system environments. His leadership qualities, combined with his strong technical expertise, contribute significantly to the development of efficient and innovative solutions in the field of data solutions. His specialized knowledge of IBM Data Stage sets him apart as an outstanding expert in this field.

Christian Luther not only possesses extensive technical expertise but also excels at explaining complex technical concepts in a clear and understandable way. This makes him a valuable member of our team and an experienced trainer in our training programs.

Field of Specialization and Expertise:

• Data Integration / Data Warehousing / ETL Development / Databases

• IBM DataStage

• IBM Cognos TM1

• IBM DB2

Florian Edenhofner earned his master’s degree in Food Technology and Biotechnology, with a focus on machine learning, from the renowned Technical University of Munich. Through his academic career, he has acquired comprehensive knowledge in these cutting-edge and interdisciplinary fields of science.

Florian wrote his master’s thesis at the Fraunhofer Institute IGCV, specializing in the use of multi-agent systems in the field of reinforcement learning. This work underscores his ability to understand complex technological concepts and implement them in practice.

Professionally, Florian has established himself at FIDA as a data scientist and trainer. In this role, he combines his technological expertise with data science to develop innovative solutions in data analysis. His experience as a trainer enables him to effectively convey and share his expertise, making him a valuable member of our training programs.

Fields of Expertise:

• Python, C, R, LaTeX

• Classical Machine Learning, Computer Vision

• Deep Learning: Reinforcement Learning, Large Language Models (LLMs)

• NLP & Generative AI: RAG, Topic Modeling, Prompt Engineering

Holger Fähnrich combines many years of hands-on experience in software development with in-depth expertise in the design and modeling of modern system architectures. As a graduate in computer science (FH) with over 20 years of professional experience, he specializes in developing scalable, secure, and sustainable software solutions in complex enterprise environments—particularly in the insurance and finance sectors.

In addition to his technical architecture work, he brings extensive experience in knowledge transfer. Among other things, he has served as an instructor in developer training programs and supported teams through coaching, architecture workshops, and agile transformation processes. His strength lies in breaking down complex technical concepts in a structured way and communicating them clearly to both developers and stakeholders.

His professional career began in the field of securities trading systems, with a focus on interface development and messaging architectures. Since 2013, he has played a key role in architecture and development projects at Finanz-DATA GmbH, where he holds leadership positions—ranging from technical project management to strategic architecture responsibility. In client projects, he is responsible for designing modern microservice architectures, API management, CI/CD pipelines, and security concepts based on zero-trust principles. He currently serves as Lead Software Architect, working on integration and security architectures at the intersection of AWS cloud and on-premises infrastructures.

Field of Expertise:

• Java, Spring Boot, Quarkus, Angular

• Microservices, Distributed Systems, Messaging (MQ/JMS/Kafka)

• Domain-Driven Design (DDD), Event Storming, Arc42

• CI/CD, DevOps, OpenShift, Kubernetes

• Zero-Trust Architectures, API Management

• Cloud Integration (AWS)

• Scrum, BDD, TDD