Latency budgeting for AI products that need to feel instant
How to break response time into retrieval, reasoning, rendering, and follow-up loops without losing UX quality.
Open to AI/ML, platform, backend, and product engineering conversations
Featured projects, current AI/product work, and backend systems.
Searchable publications, notes, and PDF previews inside the portfolio.
Persistent recruiter-focused AI assistant with source-linked answers.
The grid below is intentionally data-driven so it can later be swapped for MDX or a headless CMS with minimal churn.
How to break response time into retrieval, reasoning, rendering, and follow-up loops without losing UX quality.
A field guide to evaluation sets, retrieval telemetry, and operator feedback layers for production retrieval systems.
Internal software shapes behavior. When the interface is calm and legible, systems become easier to trust.
Practical heuristics for diagrams that survive handoffs across recruiting, engineering, and leadership contexts.
The trick is not just adding chat - it is structuring a portfolio so an assistant can reason over it cleanly.
Speed matters. So do failure modes, observability, and the boring seams where products actually succeed or fail.