GitLab Experts in Dresden

Khaled Massad

Principal Cloud Solutions Architect II

Last position:

Principal Cloud Solutions Architect II at Schrödinger GmbH

Understand the customer’s business & technical requirements and translate them into system / technical requirements
Design and implement Schrodinger’s applications on cloud systems, and experience convincing senior management and senior technical staff of the benefits of their journey with Schrodinger on the cloud
Provide exceptional technical design and thought leadership, especially around AWS, GCP, and K8s architecture reviews, performance, high availability, cost, and security
Deep understanding of the Well-Architected pillars and all best practices for building a secure, performant Schrodinger’s applications on the cloud platforms
Lead technical workshops and advise customers on architectural and strategic IT decisions
Ensure success in designing, building and migrating applications, software, and services on the cloud platforms
Educate customers on best practices to ensure their solutions are designed for successful deployment in the cloud
Work with other team members to ensure quality and customer success
Define the tickets, tasks, and timelines of projects
Collaborate with account managers to ensure that the projects are executed according to the defined plan and timeline
Monitor the progress of the projects, identify risks and issues, and take proactive measures to mitigate them
Lead and inspire cloud architect teams, provide guidance, and make critical decisions
Facilitate effective communication and collaboration among team members
Collaborate with Schrodinger’s managers to improve deployment, support, and configuration of Schrodinger’s applications
Lead weekly standups and define priorities

Katharina Schmidt

ML Engineer & Data Scientist | Python

Last position:

Virtual staining at Faculty of Electrical and Computer Engineering, TU Dresden

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

Nikhil Gyamlani

Co-founder / Solution Architect

Last position:

Co-founder / Solution Architect at Lima Care GmbH

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

Srividhya Sainath

PhD Student

Last position:

PhD Student at KatherLab EKFZ for digital health TU Dresden

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.

Michael König

Architect and Full-Stack Developer

Last position:

Atruvia AG

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.

Reinhard Duy

Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning

Last position:

Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning at Continuing Education

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

Artur Rekawek

Senior DevOps Engineer