Daniel Christoph-AI Engineer
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Experience
AI Engineer
EMLI GmbH
- Development and deployment of AI/ML models to support research, production, and QC processes in GxP-regulated life science environments
- Building scalable MLOps infrastructures for the production use of AI solutions in regulated areas, including cloud architectures and data pipelines
- Regulatory compliance and validation according to GAMP 5, EU AI Act, and data integrity requirements, including audit trail-compliant documentation
- Interdisciplinary project management in AI and digitalization projects: coordinating stakeholders, budget responsibility, client communication
- Data engineering and integration: analyzing diverse production data, ensuring data quality, and integration into validated systems
AI Engineer & Software Test Specialist
Highstreet Technologies GmbH
- Development of automated test solutions with Python, Selenium, and Robot Framework
- Performance testing to ensure scalability and software quality
- GitLab CI/CD for automating build, test, and deployment pipelines
- Management of distributed Docker infrastructures to improve efficiency
Software Engineer Testing & Integration
Dehn IT-Engineering & Project Management
- Optimizing CI/CD workflows (Jenkins, GitLab)
- Test development using UX frameworks, WebSockets & REST APIs
- Containerization and scaling with Docker & Kubernetes
Industry Experience
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Experienced in Information Technology, Biotechnology, and Pharmaceutical.
Business Area Experience
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Experienced in Information Technology, Quality Assurance, and Project Management.
Summary
Computer scientist and AI specialist focused on machine learning, large language models (LLMs), and digital quality assurance in software projects. Solid experience in automating test and deployment processes, containerization (Docker, Kubernetes), and building scalable ML environments. Published research in the evaluation of language models with a special focus on their ability for knowledge representation and fact learning.
Skills
Natural Language Processing (Nlp) & Large Language Models (Llms)
Test Automation & Software Quality (Selenium, Robot Framework)
Devops & Ci/Cd (Gitlab, Jenkins, Docker, Kubernetes)
Ml Engineering With Pytorch & Huggingface
Digital Quality Management & Performance Testing
Containerization & Scalable System Architectures
Publication & Research Experience In Ai Interpretability
Languages: Python, Sql (Postgresql), Java, Bash
Ml/Nlp: Huggingface, Pytorch, Pandas, Numpy
Devops: Git, Ci/Cd (Gitlab, Jenkins), Docker, Kubernetes
Tools: Vs Code, Pycharm, Intellij
Languages
Education
Humboldt-Universität zu Berlin
Computer Science · Computer Science · Berlin, Germany
Humboldt-Universität zu Berlin
Computer Science · Computer Science · Berlin, Germany
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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