Rasmus Risse
Highlighted Projects
Business Consulting for Healthcare Services Startup
Medical Industry
https://demo.urostatistix.de/#/app/startSummary
With a Master's degree in Applied Computer Science with a focus on Neuroinformatics from Ruhr-University Bochum, I have acquired comprehensive skills in software development, process digitization, project management, and customer communication. My technical strengths lie in .NET/C#, C/C++, and JavaScript/TypeScript, with a successful track record of implementing long-term projects at a professional level.
In addition to classic Full Stack development, I bring additional expertise in AI-driven process automation. Through my several years of experience in artificial intelligence and IT security, I can both develop traditional software solutions and seamlessly integrate modern automation and machine learning into existing systems. This combination enables me to respond flexibly to different project requirements.
Despite my technical focus, I enjoy working closely with people - whether in on-site customer meetings or when creating requirement analyses and diagrams.
Industry knowledge
- AI automation
- Energy sector
- Medical Industry
- Custom Software
- E-Commerce
- Research and Development
- Food and Nutrition Industry
- Public Sector
Technical skills
Programming Languages
Web development
Database Technologies
DevOps
Backend Development
Cloud Services
Cloud Provider
Architectural Patterns
AI Integration & Automation
Protocol Development
Expertise
Advanced English language skills
Experience in using UML and BPMN
Experience with relational and non-relational databases
Sound knowledge of concepts and methods in software engineering
Advanced proficiency in Artificial Intelligence / Neural Networks / Evolutionary Algorithms / Machine Learning
Proficient knowledge in the field of digital (medical) image processing
Experience in leading a team
Practical experience in developing and integrating AI-powered automation solutions
Project overview
Intelligent Workflow Automation with AI Integration
AI integration and automation for existing business processes. Development of intelligent workflow solutions using n8n, TypeScript, and Node.js that connect systems and services. Integration of AI models like Anthropic Claude via APIs with RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol) to create context-aware automation that makes intelligent decisions, processes natural language, and adapts dynamically to requirements. Focus on scalable, maintainable solutions that save time and enable teams to focus on high-value work.
Modernization and Enhancement of a Gas Portfolio Management System for Long-Term Trading
Modernization and enhancement of the existing application. Key focus areas include improving application stability and increasing the speed at which updates are implemented.
Development of a statistical modeling tool tailored for healthcare applications
As the Lead Developer at UroStatistix, I spearheaded the development of a software solution for managing microbiological urine tests. I oversaw the entire development process, from conception to implementation, ensuring that the platform adhered to rigorous EUCAST standards. By integrating advanced statistical features, our software enabled users to efficiently capture, document, and analyze data. My objective was to create a user-friendly solution that streamlines workflows in urological practices while enhancing the quality of patient care.
Development of an ID Authentication Software
Development of an analysis tool for examining passports and identity cards according to ICAO standards. Implementation at various airports and personal demonstration at the EU Conference at the Joint Research Centre in Ispra on the topic of counterfeit security.
E-Commerce Transformation: 2M+ Products with Angular PWA & Enterprise Backend
My tasks included conceptualizing the software architecture, integrating external APIs, developing the backend using Node.js with TypeScript and Express, and implementing MongoDB for data management.
Ultrasound-assisted Perfusion Model Approximation for Cerebral Tumor Detection using Evolutionary Algorithms
A software has been developed that is capable of training a model from a given video of a brain with a tumor, enhanced with contrast-enhanced ultrasound. This model should be able to recognize the location of the tumor, with particular emphasis on the temporal aspect being crucial.
Brand and product development of digital food startup
Development of a microservice backend and an Angular frontend for a regional online shop, including merchandise management system and scalable hosting in the Google Cloud.
Software Development for Secure ICAO-Compliant ID Smartcards
Development of a software solution for end users to read ID cards, taking into account specific government requirements, including subsequent on-site maintenance.
Development of an ERP Solution for Enhanced Operations
Lead software developer for the entire application including workshops in China to demonstrate the technologies.
Migration and Enhancement of Profit-Optimized Gas Storage Platform
Modernization of user interfaces in line with corporate identity, adjustment and migration of data models, and upgrade of the backend to the latest .NET version. Implementation of comprehensive tests, use of Terraform for automated deployments, and securing of interfaces with Entra ID. Extension with new features, consolidation of technologies, and integration of scalability options.