Agent Reliability Lab
An experimental platform for verification, recovery, and observability in multi-step AI agents.
Software Engineer · Class of 2026
Open to full-time software and AI engineering rolesI explore AI agents, developer tools, and reliable software systems—turning ambiguous problems into outcomes that can be verified.
Work samples
An experimental platform for verification, recovery, and observability in multi-step AI agents.
A searchable bilingual knowledge base connecting reading notes, code experiments, and long-running themes.
A reproducible and reversible Linux workstation and developer-tool configuration.
Field notes
Why exit code zero does not mean the job is done, and how to define meaningful acceptance rules for automation.
A language switcher is not enough: routes, content identity, and missing translations all need explicit rules.
Problems, constraints, tradeoffs, and evidence reveal more than a wall of framework badges.
Have a problem worth solving well?
hello@szchan.net↗