I get AI past the pilot stage and into production.
Most teams buy AI tooling, adoption flattens, and nobody can say whether it worked. I take it the rest of the way — built into how the team already works, used daily, and measured well enough to know if it is paying for itself.
I have spent 25 years in software engineering, most recently six years leading the backend department at Outplay Entertainment, a Scottish mobile games company: around 80 microservices across half a dozen environments, behind its live global titles.
- 25years in software engineering
- 10live global titles supported
- 20×faster environment provisioning
- +25%CD KPIs, four quarters running
In practice
Agentic code review, in production
A partner delivered an AWS-funded prototype for agentic code review. I rebuilt it for our use case and put it into the delivery pipeline, coordinating multiple specialised agents in parallel. Each agent covers a different review angle: style, quality, UI, security, and Continuous Delivery KPI measurement. And it became something engineers used every day.
Four things made it work: configuration that could change as we learned, feedback loops engineers actually used, frequent iteration, and KPIs solid enough to tell us if it was working. I also negotiated the commercials with AWS and the partner down to zero cost for the business.
Other prototypes
I also built an experimental tool: automated, multi-language, pre-emptive content moderation for player chat capable of detecting toxic and inappropriate language.
The rest of the platform
I stabilised legacy platforms until alert volume dropped from daily to yearly, letting us retire 24/7 on-call entirely, and drove the modernisation of half a dozen critical backend systems — LiveOps & their management tools, notification campaigns, leaderboards, the legacy game backend — without pausing support for live titles or new launches. I also built the backend function into a proper department: career paths, specialisation tracks, growth frameworks.
Working together
Hands-on engagements
Senior contract work building AI tooling and platform capability, at a day rate — direct with clients, or as a subcontractor for agencies that want someone who has done this in production.
Fixed-fee diagnostic
About two weeks, ending in a written report — an AI adoption readiness review or an engineering workflow audit. The right start if you have bought the tooling and cannot tell whether it is working, or are deciding whether to.
Fractional engineering leadership
A monthly retainer for teams that need senior engineering leadership without a full-time hire.
Also open to broader senior work: backend and platform engineering, AWS serverless and traditional compute, microservices at scale, legacy modernisation and DevOps.
Get in touch
A short note about what you are dealing with is enough to start.
- Email angelo@leggiopasqua.com
- LinkedIn linkedin.com/in/angelo-leggio
- Call Book a 30-minute call