Engineering leader for manufacturing, AI, and operations.

Over eight years architecting and delivering production systems in manufacturing — computer vision, optimisation, analytics, and LLM-based tooling — delivered alongside hiring, mentoring, and performance reviews. Comfortable on the shop floor and in the boardroom.

Up to 80%

Stoppage reduction at selected workstations

2 US patents

Computer vision and conveyor optimisation systems

30+ / 15+

Engineers hired / long-term mentees

For employers

Engineering lead for teams building AI, optimisation, and operational software — from technical delivery to hiring and mentoring.

View engineering profile

Background and approach

Production systems in Python — computer vision, optimisation, analytics, and LLM/AI tooling — for environments where deployment conditions, not the model, are the hard part.

As a lead, I hire, mentor, and run performance reviews, leading by example and building inclusive teams — while staying close to the work itself, from shop floor operators to executives.

Communication is a core strength: explaining clearly to people, and instructing precisely to LLM agents — the same skill, applied to both kinds of collaborator.

Career

Aug 2017 to Feb 2026

Software Engineering Lead

General Motors

  • Architected and led a patented computer-vision platform generating approximately $500M in annualised savings.
  • Designed optimisation systems that reduced critical conveyor-line stoppages by up to 80% at key bottlenecks.
  • Hired and onboarded 30+ engineers across junior to mid-senior levels.
  • Long-term mentor to 15+ engineers targeting senior and staff roles.

Mar 2026 to Apr 2026

Contract Senior Software Engineer

Fidelity Investments

  • Built Python-based data-acquisition systems using Playwright and Bright Data.
  • Diagnosed and resolved production issues at the data ingestion layer, restoring downstream analytics workflows.
  • Proposed improvements to code review practices and delivery processes.

Writing in public

Under construction

Notes on applied AI, software delivery, and industrial systems will appear here soon.

Get in touch

Let's work together.

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Best fit

Engineering leadership roles and focused collaborations

Response time

Usually within 2-3 days

Best next step

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