Engineering velocity stalls
Teams ship slowly despite headcount. Process accumulates faster than output.
Fractional CTO & AI Operating Partner
Co-founder and CTO of a company acquired for ~$50M, with 25+ years building software companies. I help funded startups improve engineering execution, product velocity, and operational leverage through AI-native systems.
25+
Years building software
Founder
& CTO
~$50M
Successful exit
AI-native
Operating systems
Where companies get stuck
Teams ship slowly despite headcount. Process accumulates faster than output.
Initiatives consume budget and attention but fail to change how the organization executes.
Priorities shift weekly. Product and engineering misalign under pressure.
Capital arrives before operating systems exist to absorb it.
Founders carry architecture, hiring, and execution without a peer-level technical operator.
Coordination overhead grows. Management layers multiply. Throughput does not.
What I do
I work at the intersection of engineering, product, and operations. Engagements are outcome-oriented and designed for founders who need a peer-level operator, not another vendor.
Executive technical leadership for founders navigating scale, hiring, architecture, and board-level technical narrative.
Internal systems that reduce coordination overhead and turn AI from experiment into execution infrastructure.
Improve velocity, reduce friction, and build technical execution systems that scale with the business.
Align product direction with engineering capacity. Restore clarity to what ships and why.
Reduce management overhead, clarify ownership, and increase organizational throughput.
Investor-grade assessment of engineering, product, and AI readiness for M&A and fundraising.
Redesign how teams plan, build, and operate using AI-native workflows, not bolt-on tools.
AI operating systems
Internal AI systems designed to reduce coordination overhead, accelerate execution, and improve organizational throughput. Not gimmicky agents or autonomous employee replacements. Operational leverage built into how the company runs.
AI-assisted development, review, and delivery systems.
Roadmap coordination, spec generation, and decision support.
Institutional memory that compounds instead of fragmenting.
Coordination tasks removed from human bottlenecks.
AI-native growth and content operating systems: distribution infrastructure, not content services.
Selected work
Companies, platforms, and execution environments I have co-founded, scaled, or helped redesign. Each reflects a specific operational challenge and the work required to move it forward.
The through-line across these engagements is consistent: improve how organizations execute, integrate AI into real workflows, and build infrastructure that compounds rather than decays under scale.
Founder Outcome
Co-founded and scaled a company as co-founder and CTO through a successful ~$50M acquisition, with operator credibility earned by building and exiting from the inside.
Co-founded and served as CTO of a software company from inception through a ~$50M acquisition, building execution systems, product discipline, and operational infrastructure that created durable enterprise value.
Execution Infrastructure
AI-native execution infrastructure designed to embed durable AI workers directly into how teams plan, build, and operate: inside work, not adjacent to it.
AI-native execution infrastructure embedding persistent AI participants into product, engineering, and operational workflows, compressing coordination and increasing organizational throughput.
Growth Infrastructure
Operational content infrastructure designed to scale distribution, compress GTM coordination overhead, and embed AI directly into acquisition workflows.
A vertically integrated operational platform where fulfillment, content, SEO, paid media, and workflow orchestration functioned as one coordinated execution layer: GTM infrastructure, not a content agency.
Regulated Operations
Durable workflow infrastructure for regulated environments, integrating human-in-the-loop AI participation without compromising operational reliability.
AI-assisted operational workflows embedded inside a compliance-critical financial platform, where reliability, orchestration, and human judgment must coexist.
Infrastructure
Durable multi-tenant infrastructure for AI execution, designed for reliability, isolation, and operational scale rather than demo-grade deployments.
Multi-region execution infrastructure supporting durable AI workloads, tenant isolation, and operational reliability at scale. Foundational proof of technical and systems depth.
As co-founder and CTO, led a company through a successful ~$50M acquisition. Since then, has built AI-native systems spanning engineering, product, and GTM, bridging technical depth with distribution and operational sophistication.
Insights
AI Systems
Why most AI initiatives fail to change how companies execute, and what actually creates leverage.
Engineering Leadership
Headcount is not velocity. Process is not discipline. What actually moves engineering throughput at scale.
Leadership
Not outsourced management. Executive technical leadership for founders who need a peer, not a vendor.
Typically partnering with funded startups and growth-stage companies navigating scale, technical leadership challenges, or AI transformation.