Enterprise Platforms · Workflow Orchestration · Enterprise Architecture · Systems Integration · Cloud & AI Transformation · SDLC Governance
I lead platform engineering organizations that ship mission-critical software in regulated environments: integration, orchestration, and cloud-native delivery—with observability and controls that hold up under inspection.
The through-line is execution: architecture that matches reality, delivery systems that increase velocity, and governance tied to shipped work. Scaled to 55 FTE; sustained 99.99% uptime; AI-assisted capabilities with traceability—strong where audit and compliance matter, without leading with them.
Below: proof metrics, flagship work, outcomes—then timeline and capability stack.
Six headline proof points—velocity, reliability, scale, and intelligence at enterprise scope.
Concrete systems and products—what I have led, built, or shipped—as proof, not positioning alone.
Order, lab, and clinical reporting unified through integration, release governance, observability, and compliance-by-design.
Why it matters: Mission-critical reliability and traceable change in a regulated product footprint—my current software engineering scope.
Framework-driven compliance portal: traceability, lifecycle governance, and AI enablement for audit-ready teams.
Why it matters: Policy expressed as product—built outside my employer, live on the web.
Claude workflows with RAG, routing, audit logging, and cloud-native delivery for compliant AI in production contexts.
Why it matters: Modern AI UX with evidence and controls that regulators and engineers can both defend.
Clinical and oncology workflows translated into a credible digital experience—narrative, UX, and domain depth.
Why it matters: MIT CTO Impact Project—proof of domain-to-product translation.
How I run engineering at scale: governance, org design, execution—strategy that shows up in releases.
Why it matters: Repeatable system for decision rights and velocity without bureaucracy theater.
Additional independent work: Ojas Health — health tracking and AI-assisted recommendations. EQCE org build (<$6M budget, 15→55 FTE) sits in signature outcomes and timeline.
Recurring executive patterns behind the numbers—how the work runs, not only what it measured.
Pattern: inspection-ready delivery as a habit, not a project.
Pattern: audit prep collapses when traceability is native to SDLC.
Pattern: build a function as a platform, within real budget discipline.
Pattern: executive forums that connect architecture to releases.
Capability architecture: how I think about platform delivery, safety, and control—not a résumé keyword list.
I build orgs people want to join: clear bar, real ownership, and accountability that shows up in releases—not slide decks.
I modernize how software ships: golden paths, observability, cloud-native execution—velocity without pretending risk doesn’t exist.
I connect what executives decide to what teams ship—architecture, governance, and execution on one thread.
Regulated and mission-critical is a constraint I respect, not an excuse to move slowly—compliance as an output of good engineering.