π€ AI-Augmented Solution Architect
I design, review, and ship production systems in partnership with AI coding agents π§βπ»π€π€ β Claude Code, Cursor, GitHub Copilot β while keeping the architectural judgment human-owned.
13 years in software, now operating AI-first: the agent writes the code, I own the design decisions, the security calls, and the accept/reject.
π‘ My working model: direct and correct the agent, don't just accept its output. That's where the real architecture happens.
π οΈ Agentic development pipelines β design and run multi-agent pipelines (spec β impact β review β ship) across large, multi-repo codebases, with adversarial review lanes, automated quality gates, and per-run cost/quality tracking; learnings feed back into the agents.
π AI tooling & MCP integration β integrate and benchmark AI dev tools and MCP servers through controlled experiments, proving a tool's real value before adopting it.
π AI-augmented code review & security β a structured, multi-dimension review model with triage; catch correctness, security, and data-integrity issues before they ship.
π¨ Production incident investigation β root-cause analysis on live systems, human-gated and confirm-before-run: diagnose β reproduce β fix β verify, with before/after proof.
β‘ AI-accelerated development & DevOps β scaffolding, cross-cutting refactors, and framework migrations, plus generating and reviewing cloud-native infrastructure β design through to production.
π Architecture docs & decisions β ADRs, C4 diagrams, system specs, and RFCs written for both humans and AI code-gen.
π€ Mentoring & upskilling β accelerate engineers through onboarding, pairing, and clear documentation; turn individual expertise into team-wide capability.
π Standards & process β establish engineering best practices, review gates, ADR/RFC discipline, and a security-first default across teams and repos.
π Code-review leadership β own the review bar with a structured, multi-dimension approach; raise quality and catch issues early without slowing delivery.
π Knowledge multiplication β reusable context docs, shared tooling and templates, and onboarding material so the team self-serves and ramps fast.
multi-agent workflows Β· CodeGraphContext Β· Serena Β· prompt engineering for architects
Languages & Frameworks βπΉ
DevOps & Cloud βοΈβοΈ
Data & Identity ποΈπ
ποΈ Committer at the Eclipse Foundation on Eclipse Tractus-X β contributing to the Managed Identity Wallet using did:web and Self-Sovereign Identity (SSI).
π Data Space (IDS) Β· π Automotive Β· πͺͺ SSI Β· π Gaia-X Β· π§ AI/ML Β· π Document Collaboration Β· π₯ Health Tech Β· β»οΈ Sustainable Reporting Β· π° Finance Β·
Going deep on agentic AI for software architecture π€π β working through a structured Claude Code mastery program and applying it daily to real microservice, DevOps, and SSI/dataspace work.
Thanks for visiting! π



