Artificial Intelligence Experts in Dresden

BAFA consulting and project support for the introduction of AI solutions and AI agents.

• Analysis of existing business and customer service processes and identification of automation potential
• Design of AI-supported processes and agents for communication, support, and internal operations
• Gathering and structuring requirements with the company’s contacts
• Planning implementation and coordinating between the client, consulting, and development teams
• Consulting on the integration of AI into existing workflows and systems
• Development of use cases and prioritization based on value and implementation effort
• Support with testing, adjustments, and the rollout of solutions
• Consulting on data protection, process design, and the use of AI within the company

Methods/Technologies: AI agents, on-premises LLM, RAG, prompt engineering, process automation, API integrations, n8n, project management.

Brand communication that builds trust and drives growth

As an expert in brand communication with more than 15 years of marketing experience, I develop marketing solutions that not only deliver short-term results, but also have a lasting impact. With a holistic approach that combines neuromarketing and sales psychology, I support you in positioning your brand authentically and successfully.

I understand how people learn and make decisions – and that is exactly what we build your strategy on. Together, we shape your brand communication so that it builds trust, creates genuine connections, and helps you achieve your goals with confidence.

With me, you get not only a solution for today, but also the tools to manage your brand confidently and sustainably.

• Technical and professional management of software and ML development; largely independent implementation of programming and guidance of the team and external project partners
• Design, creation, and preparation of training and test data sets from experimental image data and simulations
• Selection, implementation, training, validation, and testing of neural networks for image-based reconstruction and transformation
• Systematic evaluation, comparison, and optimization of various model architectures (convolutional neural networks, generative adversarial networks, autoencoders, transformers)
• Design and implementation of explainable AI analyses for model interpretability and robustness assessment (analysis of feature maps, augmentation studies, guided backpropagation)
• Presentation of the developed methods and results in project meetings and at international conferences

• Developed a comprehensive business concept for a medical fall detection device based on a patented process registered in Germany
• Identified and collected use cases for medical device deployment in residential buildings and healthcare provider facilities
• Expanded the product scope to industry standards such as HL7/FHIR and designed a product based on modern communication protocols for IIoT
• Supported offshoring activities, defined SLA and scope-of-work documents for development teams after selecting various vendors
• Identified and selected hardware components (Terrabee, E-Con Systems) for LIDAR/TDOA functions
• Defined integrated AI features and LLM models for patient fall detection as well as AI-based audio triggers
• Oversaw the implementation of algorithms for object detection, fall detection, and false alarm identification

• Primary Research:
• Developed a compact (<700M parameters) generative vision-language model for whole slide image (WSI) by refining image tokenisation.
• Established an improved evaluation framework, including a curated question-answering dataset and metric selection.
• In preparation for submission.
• Collaboration:
• Conducting research in digital biomarker discovery in computational pathology (CPath) using AI methods.
• Collaborated on projects with international partners, including the Francis Crick Institute (Molecular biomarker prediction in Clear-cell renal carcinoma), HeCOG Greece (Lynch syndrome identification in colorectal carcinoma and Multimodal survival prediction for Prostate adenocarcinoma) and the National Cancer Center Hospital Japan (HIBIRD).
• The work with the Francis Crick Institute is currently being prepared for submission. The collaborative work in Japan has already been published, and the HeCOG projects are ongoing.
• Consortium:
• Manage inter-institutional collaboration and objectives as the KatherLab representative for the LiSYM Consortium.
• Teaching:
• Conducted online workshop sessions for two years at the Clinicum Digitale, educating physicians and medical students on the fundamentals of AI and Python skills.
• Led a multimodal foundation model workshop at the AI in Cancer Research Summer School in Corfu, organized as part of ESAC.
• Presented a talk on vision-language models at the AI in Medicine Summer School, a collaborative event by EKFZ, GENIAL, the TransformLiver Consortium, and ESAC.

• Implemented accessibility audit recommendations for the ICE onboard portal to improve usability for screen reader and keyboard users
• Migrated end-to-end tests from Cypress to Playwright
• Refactored components to meet accessibility standards
• Introduced Prettier for consistent code formatting

• Lecturer for leadership development, new work culture, account management, project leadership, strategy & team leadership, communication, future skills and project management

• Continuing education in Data Analytics, Artificial Intelligence, Deep Learning and Machine Learning
• Operating system: Windows
• Development environments: JetBrains PyCharm, Jupyter Notebook, Spyder
• Programming languages: Python 3.10
• Other technologies: Anaconda, Keras 2.10, NumPy, OpenCV, Pandas, Scikit-learn, Seaborn, TensorFlow 2.10, PyTorch

• Streamlining massive production processes serving millions of patients for Europe’s most valuable company

• Development of a Virtual Exposure Matrix Using Artificial Intelligence for Lithography Processes in Semiconductor Manufacturing
• Machine Learning (KNIME, Python)