I've spent over a decade building software that ships — not demos, not proofs of concept, but production systems that handle real traffic, real money, and real consequences. My career started in network performance engineering at companies like OPNET Technologies, Riverbed Technology, and Dynatrace — all early-stage teams, all profitable exits. That foundation in distributed systems and performance at scale has shaped everything I've built since.
From there I moved into enterprise engineering at State Street, where I pioneered internal Kubernetes adoption, designed blockchain custody systems, and contributed to the Linux Foundation's Hyperledger Fabric. I was a founding engineer at Manetu, building a data privacy platform end to end, and the first Staff+ hire at Reify Health, leading projects that contributed to their Series C & D rounds and a ~$5B valuation.
Most recently I was at Google Cloud AI, where I launched the HD Voices text-to-speech API and architected Chirp 3, a foundation-model-based transcription system — products that generated tens of millions in new revenue in their first year. I'm now at ScalePost, leading engineering for media monitoring and affiliate attribution products, taking new lines from development to tens of millions in revenue.
I run Hunger Mountain Intelligence from Middlesex, Vermont, where I also serve on the town Budget Committee and built middlesexbudget.org as a civic contribution. I studied Computer Science at Boston University.
Investment
Transparent pricing
Small business automation
If you're a small business looking to automate repetitive tasks, the AI Action Plan is $1,000, and individual automation projects are typically $3,500–$9,000 with fixed pricing. See the small business pricing page for details.
Fractional CTO & engineering leadership
For companies that need ongoing senior technical leadership, engagements are fixed-rate — you'll know the total cost before work begins. No hourly billing, no surprises. See the managed & led pricing page for details.
Common Questions
Frequently asked
How do I know if I need this?
If you're making a technical decision that will shape the next year of your business — choosing an AI approach, hiring engineers, rebuilding a system — and you don't have a senior technical leader in-house to gut-check it, that's when fractional help pays for itself. The cost of a wrong architecture or bad vendor choice dwarfs the cost of getting the right advice early.
What does working together look like week to week?
For scoped projects, I work independently on defined deliverables with regular updates and a clear handoff. For retainers, I join your team directly: standups, pull requests, architecture decisions, mentoring. Communication is direct and frequent.
Is this affordable for a company our size?
I work with startups and small teams as well as larger organizations. The fractional model exists because most growing companies need senior technical leadership but can't justify a full-time CTO. Projects are scoped to what you actually need.
Let's talk about what you're building
No commitment, no pitch — just a conversation.