AI transformation for engineering organisations that want substance, not theatre.

I help founders, CTOs, and engineering leaders strengthen architecture, modernise delivery, and adopt AI in ways that increase throughput without increasing chaos.

Technology executive, architect, and hands-on engineering leader with 20+ years of experience across startups, scale-ups, deep tech, and complex software platforms.

Uri Levitsky

About Uri

I help companies solve hard technology problems properly.

Over the last two decades, I've worked as a CTO, CPTO, Head of Technology, Head of Engineering, architect, and lead engineer across environments ranging from early-stage startups to fast-scaling businesses and deep-tech systems where correctness matters more than presentation.

What sets my work apart is that I operate comfortably at both levels: I can shape executive technology strategy, architecture, and delivery direction, and I'm close to the code so my technical decisions stay grounded in reality.

I’ve spent a large part of my career designing complex software systems, modernising architectures, and helping engineering teams make better decisions under real delivery pressure. That combination of architectural judgement and hands-on technical depth is often what organisations are actually missing.

I’ve spent a large part of my career designing complex software systems, modernising architectures, and helping engineering teams make better decisions under real delivery pressure. That combination of architectural judgement and hands-on technical depth is often what organisations are actually missing.

More recently, a major focus has been AI-enabled engineering uplift: introducing AI-first development workflows, controlled use of coding agents, and stronger operating models for teams that want real leverage from AI rather than superficial tool adoption.

My view is simple: most AI transformations amplify what is already there. If the underlying engineering system is weak, AI accelerates noise. If the system is strong, AI can materially improve throughput, quality, and execution speed.

That’s why my work is not about hype. It’s about building the architecture, technical foundations, and engineering discipline required to make modern software organisations perform at a higher level.

20+ years in software and technology leadership
Exec CTO / CPTO / Head of Technology / Head of Engineering
MCS Master's in Computer Science & Mathematics
AI Cloud-native platforms, Kubernetes, product-led transformation, AI-enabled engineering

How I help

Fractional CTO / Executive Technical Leadership

For companies that need senior technical leadership, stronger execution, and sharper architectural judgement without committing to a full-time executive hire.

  • Technology strategy and platform direction
  • Architecture review and modernisation roadmap
  • Engineering organisation design and leadership support
  • Product and engineering alignment
  • Vendor and delivery model assessment
  • Technical due diligence
  • Execution oversight for critical initiatives

Best fit: Founder-led companies scaling beyond their original architecture, teams with delivery drag or technical ambiguity, and organisations moving from outsourced development to internal capability.

AI Engineering Transformation

For engineering organisations that want to adopt AI seriously — with measurable gains, controlled risk, and an operating model that scales.

  • AI engineering maturity assessment
  • Workflow redesign for AI-assisted development
  • Controlled rollout of coding agents
  • Governance, evaluation, and review patterns
  • Tooling and platform recommendations
  • Delivery system uplift across quality, speed, and feedback loops
  • AI adoption roadmap grounded in real engineering constraints

Best fit: Teams under pressure to “do AI” properly, organisations seeing scattered or inconsistent usage, and leaders who want leverage rather than experimentation theatre.

How I work

The goal is not more AI activity. The goal is a stronger engineering system.

01

Diagnose

I assess the actual system: architecture, delivery workflow, engineering bottlenecks, organisational shape, and how AI is currently being used.

02

Design

I define a practical target state — operating model, architectural direction, workflow changes, guardrails, and a roadmap that fits your business reality.

03

Implement

I work directly with leadership and engineering teams to introduce the right changes, whether that means platform redesign, delivery improvement, team restructuring, or AI workflow rollout.

04

Stabilise

I help make the gains hold: governance, quality control, observability, and capability uplift so the system becomes stronger rather than more fragile.

I'm not there to create dependency. I'm there to help you build a system that performs better after I leave.

Selected experience

Lead Engineer — VO

Introduced AI-first development workflows in controlled feedback loops while helping build internal engineering capability and modernise platform delivery.

Head of Technology and Product — Capability.Co

Led the transition from a service-led model to a more product-driven operating model. Architected a modular Kubernetes-based platform, automated provisioning, drove cybersecurity uplift, and reduced operational drag across the stack.

Chief Technology Officer — WithYouWithMe

Led technology through a period of extreme scale, with the business achieving over 13,000% revenue growth and Deloitte Fast 500 APAC #1 recognition. It was the kind of environment where architecture, execution, and leadership all get stress-tested at speed.

Consultant — Accugen Systems

Re-architected a mathematically intensive qPCR platform into a Python microservices system with a React front end, achieving benchmark-beating accuracy and production readiness.

Chief Product and Technology Officer — Due

Led product and technical execution from concept to MVP, helping shape the platform from an initial founder idea into a more complete due diligence product.

Architect / Developer / Client CTO — Toptal

Worked across multiple client environments in senior technical and leadership capacities, supporting architecture, execution, and strategic technical decision-making.

Led technology in hypergrowth conditions
Built internal engineering capability from outsourced delivery
Introduced AI-first engineering workflows
Architected cloud-native Kubernetes platforms
Delivered deep-tech systems with demanding correctness requirements
Drove cybersecurity and platform consolidation programs

Core stack

The platforms, languages, and infrastructure I work with most often.

DockerKubernetesNode.jsTypeScriptPythonReactGraphQLTemporalPostgreSQLRedisRabbitMQSQL ServerAWSAzureOAuth2 / OIDC

Credentials

Formal training backed by long-running hands-on delivery work.

Education

Master's degree in Computer Science & Mathematics

Selected certifications

  • Google Project Management
  • Machine Learning — Stanford Online
  • Deep Learning Specialization — deeplearning.ai
  • Microsoft Certified Professional Developer
  • Microsoft Certified Solutions Developer
  • Microsoft Certified IT Professional

Writing and ideas

I write about AI engineering maturity, coding agent workflows, platform design, and what serious AI adoption looks like in real delivery systems.

My recent posts and short-form writing live on LinkedIn.

View my recent LinkedIn activity

Let’s talk

If you need senior technical leadership, AI transformation guidance, or help fixing the engineering system underneath your delivery problems, get in touch.

I work with companies that want practical outcomes: stronger architecture, better execution, and AI adoption that stands up in the real world.