Systems CTO for scaling products, teams, and AI‑driven architecture.
Scaled PeopleGrove to 400+ institutions. Ran product, engineering, infra, and AI end‑to‑end. Now advising founders on architecture, velocity, and AI direction.
Built early systems, co‑founded a startup that didn’t scale, and learned what not to do.
Scaled a multi‑product platform and now help founders avoid architectural, product, and AI traps.
Broken: Growth outpaced monolith, risking uptime.
Changed: Re-architected to multi-tenant services & unified observability.
Result: 99.98% uptime for 400+ institutions.
Why this matters: How to scale without burning engineering cycles or uptime.
Broken: Fragmented infra slowed releases.
Changed: Standardized Kubernetes, service mesh, CI/CD guardrails.
Result: Cut deployment time by 60%.
Why this matters: A blueprint for predictable releases and stable infra.
Broken: Acquired teams had divergent stacks.
Changed: Unified data contracts and release rhythms.
Result: Joint releases shipped inside 4 months.
Why this matters: How to unify divergent teams and ship fast post‑acquisition.
Broken: Leaders lacked clear signals from data.
Changed: Built RAG reporting & competitor intelligence crawlers.
Result: Board-ready insights in minutes.
Why this matters: Turning noisy data into clear, board-level signals.
How I apply AI in real product systems:
I work with founders on architecture reviews, AI direction, and technical diligence.