Jan Mayer
AI Solution Architect and Full-Stack Developer based in Ulm, Germany. I build enterprise AI end-to-end — from strategy and roadmap to production — translating business needs into measurable outcomes under enterprise IT governance.
About
Technology grabbed attention early, from reading computer magazines in school to building the first HTML pages in Netscape Composer, the very first WYSIWYG editor. Over time this turned into a self-taught path into web development, cloud, and AI.
Work
At LIQUI MOLY, building a Data & AI capability from scratch: five production projects spanning automated revenue reporting, multi-source price aggregation, a RAG-based knowledge system for technical support, AI-driven content generation, and a custom BI platform with forecasting and outlier detection. Also evaluating use cases with the business, advising on AI tooling, and authoring the company's Data & AI strategy paper to C-level — the work spans roadmap and ROI framing as much as delivery.
Freelance
Since 2017, web development for clients ranging from small businesses to established companies, always with the same goal: ship useful software that actually gets used. Early projects also included marketing and positioning work — experience that still shapes how technical solutions are communicated and sold.
Since 2024, this includes being the responsible web developer for a national interest association in a regulated industry — 160 member organizations, 200k+ monthly page impressions, with strict compliance requirements around content and member data. Changes can be time-sensitive and demand high diligence.
Side Projects
Openbase — an open-source Business Intelligence framework with AI agents integration, currently running in production. Jetson Nano OpenClaw — an Alexa-controlled robotic claw machine built with edge computing. Plus several private projects currently in the pipeline.
A key strength is staying adaptable: not tied to a single tool or environment, but combining whatever stack fits the problem. Acting as a generalist across strategy, architecture, implementation, and product delivery helps to move fast in a field where frameworks and APIs change every few months.
Focus
- AI strategy & roadmap: use-case discovery, ROI framing, governance under enterprise IT
- Enterprise AI: RAG architectures, AI agents, LLM integration for internal knowledge systems
- Business Intelligence: custom BI platforms, forecasting, outlier detection, automated reporting
- Data pipelines & API orchestration: multi-source integrations, webhooks, data quality
- Product & delivery: PSPO I–grounded, stakeholder coordination from departments to C-level