About

The short version: I have spent 14 years learning how enterprises actually build things, and I use that to help leadership teams make AI work in practice.

Background

I grew up in Poland in significant poverty. That background shaped the way I approach everything, with resilience, a long-term perspective, and an instinct for building real foundations rather than chasing shortcuts. I was the top-performing student in my school's history, the only scholarship recipient they had ever awarded, and at 13 I scored in the top 20 in my province's science examination.

I moved to the UK as a teenager and had to rebuild from scratch. Different country, different language, different system. I studied at Brunel University and built my career from the ground up in enterprise technology.

Career

My career arc runs from deep technical architecture through enterprise consulting into founder-led product building. That combination is unusual, and it is what lets me operate across the full distance between a boardroom and a deployment pipeline.

I started in infrastructure and platform engineering, working across defence, telecommunications, and financial services. The work was hands-on, distributed systems, integration architecture, cloud platform design, and it gave me a foundation in how complex technology actually gets built and operated at scale.

At Automation Logic, I became Technical Director, leading R&D strategy, a team of 25+, and the technical and value proposition strategy for the consultancy. During my time there I closed £2.5M in new business at a 100% conversion rate, the consultancy grew from roughly £6M to £13M in revenue at 74% margins, and the business was acquired for £20M. I led many of the non-commercial conversations with potential acquirers, including firms like EY and PwC, and developed the new platform portfolio that was core to the acquisition narrative.

That experience taught me something most architects never learn: how to connect technical capability directly to commercial outcomes, and how to build trust with buyers who are betting real money on your judgement.

I moved into Big Four consulting and then into Capgemini Invent, where I now work as a Managing Consultant within the Digital Architecture practice. My engagements span AI governance and security for UK Government Digital Service (GDS), enterprise architecture strategy, and operating model design for organisations introducing autonomous AI capabilities into existing risk and compliance structures.

I also sit on the advisory boards of two AI companies, A2A Net, an agentic AI marketplace, and Kora Intelligence, a marketing AI agent platform. These roles keep me close to the product and investment side of the market, and give me live case studies in exactly the kind of systems that need governing and securing.

Outside of client work, I am building AIMux, an open-source agentic AI service mesh. The thesis is that multi-agent systems need the same infrastructure primitives that microservices needed a decade ago: identity, observability, routing, and policy enforcement at the network layer. AIMux applies service mesh principles to autonomous agent workflows, with a detect-wrap-unwrap architecture that lets unmodified agents speak their native protocols while the mesh handles security, governance, and routing. It is the kind of infrastructure that I believe will be essential within the next 18 months, and nobody has built a clean open-source solution for it yet.

Academic

I am currently pursuing an MSc in AI Systems Engineering at the University of Bath, alongside my consulting work and advisory commitments. The dissertation direction, bridging the gap between AI strategy and execution in enterprise contexts, is the same problem I solve professionally, examined through a more rigorous lens. Expected completion is August 2027.

My academic performance has been strong. Modules include Advanced Deep Learning, AI as a Social and Political Practice, and Entrepreneurship. I selected the programme specifically because it combines the technical depth (neural architectures, systems design) with the strategic and societal dimensions (policy, ethics, organisational impact) that my work requires.

What I'm focused on now

Agentic AI architecture for regulated environments. Most organisations' existing AI governance models, built for supervised machine learning, do not hold up when agents start making autonomous decisions. I am working on the architecture and control patterns that let organisations deploy agentic systems responsibly, at scale: multi-agent orchestration, tool safety boundaries, zero-trust networking for agents, and production monitoring architectures.

Governance that accelerates delivery. Governance should reduce uncertainty and increase deployment speed, not block progress. I build governance frameworks designed to be implemented inside delivery workflows, risk tiers tied to concrete technical controls, time-boxed evidence-based approvals, post-deployment monitoring as a first-class concern. The enterprises that do this well are not less controlled. They are less ambiguous.

The strategy-execution bridge. If strategy is written without architecture constraints, it drifts into abstraction. If architecture is designed without governance posture, it slows into compliance theatre. If delivery is disconnected from both, teams ship isolated pilots with no operational path to scale. I keep all three coupled, and that is where I believe the most valuable and underserved work sits in enterprise AI right now.

Career Timeline

  • 2027 (expected) — MSc AI Systems Engineering, University of Bath
  • 2025 – present — Managing Consultant, Capgemini Invent (Digital Architecture). AI governance and security for GDS, enterprise architecture strategy.
  • 2025 – present — Advisory Board Member, A2A Net & Kora Intelligence
  • 2025 – present — Creator, AIMux (open-source agentic AI service mesh)
  • 2023 – 2025 — Senior Architect, Merapar. Service portfolio development, GTM strategy, technical oversight.
  • 2021 – 2022 — Technical Director, Automation Logic. Led R&D and technical strategy. £2.5M closed at 100% conversion. Consultancy grew to £13M revenue, 74% margins, acquired for £20M.
  • 2014 – 2021 — Enterprise architecture roles across defence, financial services, and telecommunications.
  • 2014 — BSc, Brunel University