Selected work
A selection of architecture work where reliability, integration, speed, security, and measurable quality mattered more than a polished demo.
My role sits at the point where product ambition meets technical reality: setting boundaries, choosing tradeoffs, and helping teams ship systems they can operate.
Selected engagements
Public engineering references sit alongside selected client work. Confidential details are kept out; the focus is architecture, responsibility, and production evidence.
Public reference implementation with hybrid retrieval, reranking, grounded citations, Recall@5 and MRR evaluation, CI regression gates, trace IDs, token controls, and provider boundaries.
Read engineering case studyDesigned a production architecture for brand citation monitoring across LLM ecosystems, with technical auditing and grounded content remediation to close the gaps it finds, coordinated with LangGraph.
Read full case studyArchitected automated tutor matching (<100ms), Redis Redlock distributed locks to eliminate double-booking, and automated Stripe Connect payouts.
Read full case studyEngineered decoupled event ingestion, Redis caching, and PostgreSQL ACID transaction boundaries to process partner affiliate conversions in sub-second timelines.
Read case studyArchitecture experience supporting core enterprise insurance platforms at EFU Life, where data integrity, auditability, integration, and continuity were non-negotiable.
How I evaluate the work
What measurable workflow, customer, revenue, or operating result did the system need to improve?
Which technical boundary or tradeoff removed the greatest delivery or operational risk?
How were quality, reliability, observability, security, performance, and cost validated beyond a demo?
Could the team understand, change, and operate the system after the architecture engagement ended?
Start with clarity
If the problem is technically difficult, integration-heavy, or stuck between prototype and production, let’s map the path forward.