Engineering Manager

• Driving AI transformation of the company
• Scouting for business areas to be improved by AI
• Leading development of AI products
• Driving education of people in AI
• Organizing of educational AI events
• Further development of company products
• Team management
• Technical leadership

Technical Stack: Gemini, OpenAI assistants, Python, Scala, Mongo, GCP

Telemonitoring system for people with chronic diseases:

• Led a 9 person team (8 internal + 1 external) (hiring, coaching, building of team culture, resolving conflicts, setting and monitoring of OKRs etc.)
• Improved development process (DoD, DoA, SOP)
• Adjusted development process to be compliant with medical software regulations
• Improved loading time of a page in 80%
• Introduced the process of technical dept review
• Improved discussion culture in team
• Organised team event

Technical Stack: Android, Angular, Spring Boot, PHP, C#

Digital AI assistant for people with heart issues:

• Owned of system architecture
• Owned of the documentation
• Owned of non-functional requirements (data privacy, security, auditability, observability, healthcare software requirements (DiGA), DevOps)
• Improving the development process (DoD, branching model)

Technical Stack: Spring Boot, Node.js, Kotlin, Android, Azure, LUIS, Kubernetes

AI – business development:

• Organised workshops with sales/business development for identifying of possible AI use-cases adjusting of company portfolio and strategy regarding AI
• Led developers team by implementing of PoCs
• Scouted for AI technologies/use-cases

Technical Stack: IBM Watson, AWS, Python, Keras, scikit-learn

DevOps for microservices based system for DAX 30 enterprise:

• Improved build and deployment process (CI/CD)
• Set up up test, staging and production environments on OpenShift
• Set up logs aggregation processes

Technical Stack: Jenkins, OpenShift, Docker, Kubernetes, EFK

AI Chatbots - presales:

• Led technical workshops for customers
• Guided clients through features of chatbots & cognitive search
• Created system architectures from client requirements
• Estimated project development costs
• Implemented proof of concepts
• Participated in offers preparation as a technical expert

Technical Stack: IBM Watson Assistant, IBM Watson Discovery, Rasa, Cognigy, Node.js, IBM Cloud, AWS, Google Speech-To-Text/Text-To-Speech, IBM Watson Speech-To-Text/Text-To-Speech

Service Desk AI Chatbot for major automotive enterprise:

• Organised/moderated workshops for customers
• Contributed to system architecture
• Led migration from public and private cloud
• Evaluated implementation technologies
• Supervised and coached junior developers
• Evaluated integration with search engine
• Set up CI/CD
• Introduced QA for AI components
• Implemented ETL jobs for training data

Technical Stack: IBM Watson Assistant, IBM Watson Discovery, Node.js, React.js, IBM Cloud (CloudFoundry, Continuous Delivery, Monitoring), Python

SaaS Systeme für Multichannel-Messaging:

• Software development (design, implementation, refactoring)
• Driving cross-team architecture discussions
• Dealing with large legacy code base

Technical Stack: Java, Guice, JPA, REST, SOAP, Hibernate, Postgres, TestNG, JSP, JavaScript, jQuery, Maven, Tomcat, SVN

Data analysis platform (Data Quality, MDM):

• Worked on design and implementation of data quality platform
• Mentored students

Technical Stack: Pentaho, Java, Python, Oracle