I'm an AI Engineer & Full-Stack Developer. I build practical, intuitive software with modern web tech, LLMs, and clean UX. Currently turning complex ideas into reality at IBM Client Engineering.
RAG architectures, agentic workflows, and prompt systems. I connect models and agents to build things that deliver real value.
System design for industrial-scale applications. From OpenShift to bare metal — built for stability, not demos.
Full-stack engineering with a focus on performance and maintainability. Turning complex requirements into clean, production-ready code.
Extracting insights from complex datasets. Statistical modeling, data visualization, and predictive analytics to drive informed decision-making.
Technical strategy and digital transformation advisory. Helping organizations navigate the AI landscape and build sustainable technical foundations.
Throughout my technical career, I have worked across many different areas of expertise. From Automation & Robotics, to AI Engineering, Data Science, Platform Engineering, Sotware Development & Architecture. In this time, I have learned how to build Systems that scale, how to guide teams efficiently and how to make AI work for myself and others. I care deeply about great User Experience and building products that are a joy to use.
An AI website builder for real businesses. I built vivd.studio to turn a short prompt into a publishable website with built-in editing, forms, and bookings.
An AI meal-planning platform built for real use. I designed the full pipeline from photo-based ingredient recognition to automated grocery lists.
A research sandbox for agentic workflows. I use it to explore LLM orchestration for deep technical analysis and complex, multi-step research tasks.
IBM Client Engineering
Leading AI transformation for major industrial clients across DACH. Full-cycle architecture for GenAI production pilots, with hands-on technical strategy and team guidance.
IBM EMEA
Part of an invited group shaping technical standards at IBM EMEA. Focused on building tools and patterns that accelerate enterprise AI delivery.
IBM Client Engineering
Built the foundational platform for insurance AI pilots across DACH. Deep work on agentic architectures and LLM orchestration.
FEEDTHEAPP / SAAS
Built and scaled an AI SaaS from scratch — handling everything from vision-based ingredient recognition to serverless infrastructure.
IBM CLIENT ENGINEERING (BANKING)
End-to-end AI applications for some of Europe's largest banks. Technical lead across Next.js, FastAPI, and OpenShift environments.
IBM
Engineered high-availability automation tools using React, TypeScript, and Python.
Aequitas Software
Architected complex automation solutions for enterprise clients. Specialized in C#, .NET and UiPath.
Got a project that needs AI to actually work in production? I'd love to hear about it.
Or send a direct transmission to hello@felixpahlke.de