Python Expert in Dresden

Technical audit for scientific software.

• Supported research in continuum mechanics with emphasis on finite element modeling, material behavior, wear mechanics, and coupled PDE formulations.
• Developed and validated numerical simulations, performed data processing and analysis, and contributed to technical publications.
• Assisted with automation scripts, preparation of figures and documentation, and day-to-day project coordination to ensure smooth research progress.
• Implementation of algorithms is performed in Fortran and Python.

• 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.

• Further development of framework components and services in the Enterprise Banking Control Platform (EGP Framework), a set of cross-cutting libraries and services for all bounded context scopes of the platform.
• Migration from Java 17 to Java 21 and from Spring Boot 3.2 to 3.4 in about 80 library and service repositories (updating Maven POMs, Dockerfiles, Jenkins pipelines, source code migration, test updates).
• Writing unit and integration tests with JUnit and JGiven.
• Performing and analyzing performance measurements with Dynatrace.
• Enhancing multi-stage CI/CD pipelines (unit tests, security analyses, Docker builds, Harbor deployments, ...).
• Tech stack used: Java (90%), Python (10%), Spring Boot, JPA/Hibernate, JGiven, OpenAPI, Camunda 7, Podman, OpenShift/Kubernetes, Oracle DB, SonarQube, Dynatrace, Jenkins, Harbor, Bitbucket, Jira, Confluence.

• Skills: ACLs, Android, Ansible, Apache, Backup, Bash, BindFS, Modern C++, CFEngine, ClusterSSH, CSS, CUPS, Debian, DHCP, DNS, dovecot, exim4, Firewall, FUSE, GIMP, Git, gnupg, HTML, IMAP, IPv4, Kerberos, LDAP, LineageOS, Linux, Mercurial, NAT, Networking, NFSv4, OpenPGP, OpenSSH, OpenSSL, OpenVPN, PHP, pxelinux, Python, RAID, Responsive Web Design, Routing, Shorewall, SMTP, SSHFS, SSL/TLS, systemd, TFTP, UPS, VPN, X11, XMPP

• Benchmarked multiple LLMs for genomic prediction tasks, ensuring rigorous evaluation across architectures and datasets.
• Extended and streamlined in-lab LLM architecture, enhancing interpretability and broadening applicability.
• Identified sequence and epigenetic factors underlying human genome stability, enabling deeper insights into their distinct roles in genome biology.
• Mentored and designed projects for several master’s students and interns, leading to highly graded reports and development of pipelines with lab-wide applications.

• 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

• Initiated and led a cross-functional innovation initiative to evaluate scalable digital wellness solutions for enterprise environments, applying strategic product planning and user research methodologies.
• Developed a sustainable business model through analysis and contributed to the rollout strategy.

• Java and Groovy development
• Administration of Docker Compose (incl. installation, configuration and maintenance)
• Linux systems like Debian
• Git, Jenkins, Artifactory, Sonarqube, SVN
• Administration of Atlassian products like Bitbucket, Jira, Crucible, Fisheye
• Monitoring tools like Elasticsearch, Prometheus
• Practical experience with DevOps tools like Puppet, Maven
• Scripting in Python, Perl, Shell and Powershell
• Helm chart script development
• End to end new framework development in Python, Groovy including Jenkins and Gitlab CI/CD pipelines
• Gitlab runner CI/CD development
• Openshift Kubernetes administration and development

• Programming in Python to develop backend solutions and data processing tasks.
• Developing user interfaces with React.js to create intuitive and user-friendly applications.
• Designing and implementing a document management system to improve access, traceability, and updating of technical documentation.

• 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)