Fractional CTO / Head of AI
for teams turning AI into real products
I help companies move from fragmented AI experiments to reliable, production systems that actually deliver value.
From ML pipelines to agent workflows, I design and ship AI platforms that hold up in production.
How I Deliver Value
ML Pipeline Automation Engineering
Agentic Workflow Compatibility
AI Systems Interoperability
From first pipeline to multi-agent production workflows,
I help teams ship automation that is robust, observable, and maintainable.
Dr. Andrew Nelson
I’m a physicist-turned fractional CTO with over a decade of experience building production data and ML systems.
I help companies turn AI ambition into systems that actually work in production, focusing on automation, reliability, and long-term maintainability.
I operate at the intersection of architecture, execution, and decision-making, helping teams choose what to build, how to build it, and how to make it reliable at scale.
If you need hands-on support turning fragmented AI efforts into a scalable automation platform, let’s talk.
Who I Help
- • Product and ML teams that need reproducible training and deployment pipelines instead of one-off scripts and manual handoffs.
- • AI platform leaders who need agent-compatible architecture so copilots and autonomous workers can safely use internal tools and data.
- • CTOs and engineering leads who need senior architecture support for multi-model and multi-agent AI systems without adding a full-time executive hire.
- • Teams dealing with brittle MLOps, weak observability, or inconsistent model behavior who need a path to reliable scale.
How I Build Reliable ML and Agentic AI Systems
A practical delivery process for pipeline automation, agent integration, and production hardening so your AI stack scales without constant firefighting.
Audit Workflows
I map your current data flow, training loop, deployment process, and agent interactions to identify bottlenecks, failures, and high-risk dependencies.
Define Contracts
I establish clear model, data, and tool contracts so pipelines and agents can interoperate predictably across services and environments.
Automate the Platform
I implement CI/CD-enabled ML pipelines, evaluation gates, and orchestration patterns that reduce manual work and speed up safe releases.
Operate and Improve
I add observability, policy guardrails, and runbook-ready operations so your AI systems stay reliable as usage and complexity increase.
Work With Me
I work with companies in three ways, depending on whether you need executive ownership, system-level design, or hands-on platform implementation.
Fractional CTO / Head of AI
- • Ongoing leadership for teams building AI products or platforms.
- • Own architecture, roadmap, and technical decisions.
- • Partner with founders and executives to align AI with business outcomes.
AI System Design + Productionization
- • Turn prototypes into production systems.
- • Define architecture, contracts, and evaluation strategies.
- • Guide implementation and unblock engineering teams.
ML & Agent Infrastructure
- • Pipeline automation across data, training, and release cycles.
- • Agent and tool integration with safe execution boundaries.
- • Observability and reliability systems for production operations.
How I Deliver Value
End-to-End ML Pipeline Automation
I design and implement automated pipelines for data prep, training, evaluation, deployment, and monitoring so your team ships models faster with fewer regressions.
Agentic Workflow Integration
I connect agents to tools, APIs, and knowledge systems with robust interfaces, permissions, and fallback behavior that support safe autonomous execution.
AI Systems Compatibility Architecture
I align model services, vector infrastructure, event systems, and application layers so heterogeneous AI components remain interoperable and maintainable.
Platform Stabilization and Scale
I diagnose failures across data, model, and orchestration layers, then implement observability and operational guardrails to keep your platform reliable in production.
What People Say About Working With Me
“Andrew automated our training and deployment workflow end to end. We moved from fragile weekly releases to daily model updates with clear quality gates.”
— Head of ML, SaaS Platform
“Our agent proof-of-concept was impressive in demos but inconsistent in production. Andrew redesigned the tool and context contracts so agent runs became predictable and auditable.”
— VP Engineering, AI Product Team
“We had disconnected model services, vector search, and APIs. Andrew unified the architecture and observability stack, and now the entire AI system behaves like one platform.”
— CTO, B2B Automation Company
Let’s Connect
Tell me where your ML and agent workflows are breaking down, and what you need to automate next.