Complex systems become easier to operate when traces, logs, states, and failure modes are designed intentionally.
Systems
How I approach architecture, applied ML, backend services, observability, and ambiguous technical domains.
Applied AI work needs grounding, memory, evaluation, cost awareness, and clear boundaries around what the system should decide.
Good engineering is often pragmatic: modular enough to evolve, simple enough to operate, and explicit about trade-offs.