Tech Lead AI / Senior Solution Architect. I design and scale GenAI and ML platforms β currently an on-premises Core AI Platform that connects multiple cloud providers and offers models as a service, with agent runtimes, model routing and MCP (Model Context Protocol) in the mix. Before that: cloud data/ML platforms, Java/Quarkus microservices, e-commerce, and a lot of Scrum and training of apprentices.
Software architecture (iSAQB), Scrum (PSM II, PSPO II), and a soft spot for things that run reliably at 3 a.m.
- Agentic engineering β building with and for AI agents: guardrails, skills, ops agents. I write about it on the blog: blog.weisser.dev
- agentic-skills β my growing collection of skills and subagent definitions for coding agents
- awesome-opencode β agents, skills and model configs for opencode
- opencode-remote-telegram β steer a coding agent from Telegram
- agentic-ai-workshop β interactive workshop on agentic AI systems (live)
- Homelab as a playground β one Proxmox host, Docker, Caddy, Cloudflare Tunnel, everything deployed from Git. On top of it a self-built dashboard with ops and CVE agents (read the story: I built my own Portainer β plus agents β in a single day with AI).
- Side projects β ScrumBuddy (planning and retrospectives for agile teams) and BlindGuess (a party-friendly estimation game).
- π OpenPasteBin β self-hostable pastebin with expiry, password protection and burn-after-read (live)
- π° my-digital-card β online business card, base64-encoded profile data
- π responsive-resume-cv-react β a CV that looks good on the web, as PDF and in print
- AI: LLM gateways and routing, agents, MCP, evaluation, RAG
- Backend: Java / Quarkus β, Node.js π’, Python π
- Frontend: React βοΈ, Vite β‘, Angular
- Platform: Docker π³, Kubernetes βΈοΈ, Terraform, CI/CD, AWS / GCP, Linux
LinkedIn Β· Blog Β· weisser.dev
Why so many animals in my projects? The dogs πΆ Balu and Luna sit in the office next to me as official FeelGoodManagers, so they deserve a place in the projects, too. π±




