Autonomous GitHub repo fixes
Used agents to inspect GitHub repositories, make small fixes, run checks, and prepare clean pull request notes a maintainer can review.
Topics I work with and continue to study in day-to-day IT security.
Topics I have worked on in IT operations, governance and team processes.
Topics related to modernization, migration and practical automation.
I also share knowledge with non-profit organizations through practical workshops:
Open source projects I follow and support:
My name is Antonios Chatzigiagkos. I have over a decade of experience in IT and build practical solutions for real-world technical challenges.
My work covers IT operations, security, Microsoft 365 and Azure administration, automation, service management and modern AI tooling. I like useful systems: clear scope, good handoffs, tests, logs and rollback paths.
I actively explore open-source and local-first AI across web development, programming, security analysis and content workflows, then turn the useful parts into working methods.
This website is a personal profile and portfolio page for employers, clients and technical reviewers. Freelance or project inquiries are handled individually by direct contact.
To learn more about me, check out my LinkedIn & Xing accounts. For exchange and networking, contact me via email: ac@it-expert.io.
Working title: TraceTrust
A trust layer for AI agent tasks. Scope is defined first, execution is logged, and review happens before payout.
This product effort is separate from this personal profile page. The public demo is read-only and uses sample data.
Short notes on work I have built, tested or improved. Each item stays concrete on purpose, so a human reviewer or AI agent can quickly understand the scope, outcome and tooling without digging through private logs.
Used agents to inspect GitHub repositories, make small fixes, run checks, and prepare clean pull request notes a maintainer can review.
Tested apps in a responsible, private-first way: scoped targets, safe reproduction steps, and clear reports for teams to fix.
Reduced a web app npm audit from reported issues to zero, then checked lint, tests and production build instead of treating the audit output as the finish line.
Built repeatable browser checks for demo flows, logout behavior, task detail pages, theme switching and trust UI.
Operate a private Linux homelab with self-hosted collaboration, search, automation and local AI services, backed by health checks for uptime, disk, memory and web endpoints.
Set up local AI tools for private search, drafting and experimentation without sending every task to a hosted service.
Turned loose agent runs into safer workflows with checks, logs, clearer handoffs and review points before anything important changes.
Built a lightweight scoring flow to compare commercial ideas by market signal, effort, risk and personal fit before investing more time.
Tested a workflow for finding real maintenance work, checking buyer signals, preparing fixes and avoiding vague low-trust tasks.
Built a read-only public demo for a trust-first AI agent workflow: scoped tasks, execution evidence, reviewer decisions and payout evidence.
Compared marketplace payment patterns and chose a EUR-first pilot path. The reason is simple: less friction, clearer accounting and better dispute handling for early validation.
Prototyped multi-conversation browser UX for an agent interface behind an experimental flag. Kept the live runtime untouched and verified behavior in an isolated browser test lane.
Set up local semantic memory for agent sessions with OpenViking and local embeddings, then added watchdog checks so search, recall and runtime health stay visible.
Migrated useful OpenClaw routines into Hermes, cleaned up stale services and kept rollback notes. The focus was boring on purpose: preserve what works, remove what silently breaks.
Recovered Matrix delivery for local agent notifications, including self-signed TLS handling, room trust rules and smoke tests with real Matrix events.
Kept Nextcloud Tables as the source of truth for tasks, with local mirrors only used for automation and summaries. This avoids the usual mess of two competing task systems.
Tested small UI cards for agent outputs such as health checks, approval decisions and research shortlists. Useful for review-heavy work; less useful for raw coding logs.
Reviewed outside agent methods and only adopted the useful parts: rollback-ready change checklists, compact handoffs, blast-radius reviews and plain-language output checks.
Explored how AI music tools could reach real users by testing positioning, creator workflows and practical launch angles.
Freelance and project inquiries are welcome. For legal details, see the Impressum.
Antonios Chatzigiagkos
IT Expert / Freelancer
Germany / Bavaria
Phone: +49 1511 5572841
Email: ac@it-expert.io
Impressum / Legal Notice