Deep-tech feasibility, AI/ML risk analysis, and systems architecture
for founders and investors.
Understand what's real, what's possible, and what to build next.
From evaluating bold ideas to architecting scalable ML and data systems,
I bring senior technical clarity to early-stage teams.

I’m a physicist-turned fractional CTO with over a decade of experience in engineering, R&D, and early-stage startup execution. My work sits at the intersection of deep science, machine learning, and product architecture.
I help founders and investors understand what’s technically possible, and what isn’t.
That means evaluating complex AI, scientific, and engineering claims, uncovering hidden failure modes, and guiding teams toward solutions that are actually feasible in practice.
If you need trusted technical diligence to turn ambitious ideas into reality, let’s talk.
A clear process for evaluating feasibility, uncovering risks, and designing technical systems that actually work — so teams move fast without building themselves into a corner.
I analyze your idea, stack, data, and architecture to map what’s feasible, what’s risky, and what must change before execution begins.
I provide actionable technical direction, architecture choices, system design, and strategic tradeoffs, all aligned with your product goals and constraints.
I help implement key systems: ML pipelines, data workflows, cloud infrastructure, and the technical foundations that determine long-term velocity.
I establish guardrails, observability, and team processes so your systems remain reliable as your users, data, and ambitions grow.
I evaluate ambitious AI, data, and deep-tech ideas for founders and investors, stress-testing assumptions, identifying risks, and clarifying what’s actually buildable.
I help you design the right systems from the start: ML pipelines, data flows, and cloud architectures that align with your product goals and constraints, without overengineering.
When you need to move fast, I contribute hands-on as a senior IC, shipping backend services, data pipelines, and integrations that are production-ready and maintainable.
If things feel slow, brittle, or misaligned, I trace problems from code to culture, diagnosing the root causes and providing concrete steps to stabilize, simplify, and scale.
“Andrew cut through the noise and told us exactly what was feasible. His assessment saved us months of work and redirected our product toward something buildable and defensible.”
— Founder & CEO, Deep-Tech Startup
“We brought Andrew in to evaluate a complex AI system. He uncovered risks we hadn’t even considered and redesigned our architecture so the team could actually execute. Total game-changer.”
— Partner, Early-Stage VC Fund
“Our data and ML stack was a mess: slow, brittle, full of hidden failure modes. Andrew traced the root causes within days and gave us a clear plan to stabilize and scale. We finally feel in control.”
— CTO, B2B ML Platform
Tell me about what challenges you’re facing in your startup.