Projects and experience from complex software environments
Insights into customer projects, enterprise experience and technical solutions in custom software, process automation and AI.
Customer projects
A selection of projects in which we have built software, processes and architectures together with our customers.
Web platform for managing association memberships, fee payments and partner businesses — with privacy-compliant membership verification for partners and sponsors, without exposing any member data.
Impact
Word templates, Excel sheets and manual bank checks replaced by a central, privacy-compliant platform — with multi-factor authentication and automatic validity calculation.
Tech stack
Multi-tenant SaaS platform for construction and service companies: digital site reports, time-and-material slips and delivery notes captured on mobile, automatically rendered into custom PDFs and stored audit-proof in the cloud.
Impact
Replaced paper forms with a mobile app — with audit-proof PDF storage, live visibility for the office and a platform that grows with the company.
Tech stack
Co-founded and architected a modern taxi booking platform with real-time tracking, payment integration, and driver management system.
Impact
Served 10,000+ rides with 98% customer satisfaction
Tech stack
Enterprise experience
Senior engineering experience in regulated enterprise environments – from previous roles at large organisations.
Led the development of a comprehensive credit control system serving millions of users with advanced risk assessment and automated decision-making capabilities.
Impact
Reduced processing time by 60% and improved accuracy by 40%
Tech stack
Senior software developer role focusing on building enterprise-grade applications for standards management and compliance.
Impact
Streamlined standards management for 500+ organizations
Tech stack
R&D / own projects
Research and in-house projects where we explore technologies in depth.
Developed an AI-powered system for generating abstract representations using deep learning techniques and neural networks.
Impact
Achieved 85% accuracy in abstract generation tasks
Tech stack
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