Founder and tech executive, building AI that does good at scale.

I build AI people can trust: responsible, measurable, and trusted in production. And I help founders, executives, and boards build theirs.

Right exposureTrust built inShipped fast
Exposure, then clarity, then speed. In the Hubble Ultra Deep Field, 11.3 days of exposure on one nearly empty patch of sky revealed almost 10,000 galaxies.

Mental model

The right exposure brings clarity. Clarity brings speed.

The Hubble Ultra Deep Field did not come from a bigger telescope. It came from the right exposure: a tiny patch of sky that looks almost empty from the ground, observed for a total of 11.3 days until nearly 10,000 galaxies appeared. I approach every problem the same way.

Exposure

Get the right exposure

Spend time where the problem lives, with the people, the data, and the process, until the real problem is clear.

Clarity

Keep it simple

Clarity shows the smallest system that solves it, with trust designed in from the first release.

Speed

Ship it

A clear problem and a simple design reach production within weeks.

Track record

Mission-critical. At scale. With trust and governance.

More than two decades of building, on a foundation of trust, governance, transparency, and scale. Hover or tap a layer to see it at a glance.

GenworxSKORE IntelligenceSKORE HealthSKORE Compass

Founder and tech executive

I set the product vision, own the technology, and stay forward-deployed with the team until it runs in production.

At a glance
Founder and tech executive

Vision to production, end to end.

Vision to deliverySingle-threaded ownership from product vision to production, forward-deployed with customer teams and shipping on the Ninja Framework’s weekly cut-offs.
Running the companyStrategy, hiring, and partnerships, including leading the Anthropic and Google Cloud partnerships at Genworx.
Global leadershipEngineering and product teams across the US and India, working as one.
AdvisoryFounders, executives, and boards on AI strategy, governance, and architecture.
Amazon

Building at global scale

ML infrastructure for customer trust, and new businesses launched from zero.

At a glance
Building at global scale

Customer trust at global scale.

ML trust infrastructureOwned the data systems, rules system, and orchestration behind fraud and abuse prevention.
New businesses launchedFree Replacement for buyers, plus Ship with Amazon, Buy with Prime, and omnichannel integrations for sellers.
Data at scaleMulti-petabyte migrations and systems in the 100K TPS range.
Global leadershipBuilt engineering organizations from zero into multiple two-pizza teams, serving a global marketplace.
Honeywell

Mission-critical systems

Industrial control systems, and the core team behind the company’s first commercial SaaS product.

At a glance
Mission-critical systems

Software that plants depend on.

Experion PKSPrincipal engineer on the control system that runs industrial plants.
First commercial SaaSCore team on Honeywell’s first SaaS product, leading its test-driven engineering.
DevOps and transformationLed the company’s first DevOps program and global digital transformation.
Global leadershipLed engineering teams across the US, Europe, Singapore, and Malaysia, with planning and budgets spanning US and India business units.

Trust

Systems people can depend on

  • Secure by design
  • Data privacy
  • Reliable in production

Governance

Control at every step

  • Approvals
  • Audit trails
  • Cost limits
  • People in the loop

Transparency

Nothing hidden

  • Traceable decisions
  • Explainable outputs
  • Clear reporting

Scale

Built for volume from day one

  • Multi-petabyte data
  • 100K TPS range systems
  • AWS, GCP, and Azure
  • Teams built from zero
Data first, on any cloudHow every system is built, from the ground up
OutcomesProducts and agents your teams use every day, measured in production.
AI, where it fitsThe right model for the job, from Claude to open models, with deterministic logic everywhere else.
Security and governanceAccess, privacy, approvals, and audit trails, designed in from the first release.
Data foundationYour warehouse or lakehouse, such as Snowflake or Databricks, or whatever you run today. Data first, always.
Runs onAWSGoogle CloudAzure

Signal over noise.

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