Our team
These are our senior core — the leads and specialists who take your call, review the code and answer when something breaks. They are not the whole company: a wider bench of vetted engineers sits behind them, and it is who we staff from.
Vetted engineers on the bench, behind the senior core below
In mathematics and machine learning, reviewing every AI engagement
Held by every member of the team, in engineering or computing
13:00–22:00 and 18:00–03:00 PKT, assigned by client timezone
Delivery, machine learning, engineering and design, in one team. Everyone here holds a bachelor's and a master's degree in engineering or computing, and one of us holds a PhD. Every engineer here has shipped and then supported what they shipped — that second half is most of what we vet for.
Technical & Project Manager
20+ years
Runs delivery. Twenty years of shipping software across enterprise and product teams, most of it with distributed engineers on two continents.
Has stood up and run distributed teams of 40+ engineers across PKT, GMT and ET without a delivery slip.
Machine Learning Engineer
10+ years
PhD in Mathematics & Machine Learning. Reviews the modelling approach on every AI engagement before a line of production code is written.
Published work in optimisation and statistical learning; now spends her time keeping client models honest — evaluation harnesses, drift detection, and telling teams when a model is the wrong tool.
Software Engineer
3+ years
Full-stack product engineer. Builds the interface, the API behind it, and the deployment pipeline under it.
Shipped customer-facing products end to end — schema through UI — for early-stage teams where he was the only engineer on the surface.
AI/ML Engineer
3+ years
LLM application engineering: retrieval, agents, evaluation harnesses, and the unglamorous work of making a demo survive real users.
Took a retrieval prototype from 61% to 91% answer accuracy by rebuilding chunking and adding a graded eval set — before touching the model.
AI/ML Engineer
3+ years
Computer vision and applied deep learning, with a bias toward models that run inside a latency budget.
Cut inference cost 4× on a vision workload by quantising and rewriting the serving path, with no measurable accuracy loss.
DevOps & Cloud Engineer
3+ years
Infrastructure as code, CI/CD and the cost line. Treats a cloud bill as an engineering artefact.
Rebuilt a startup's deploy path from a 40-minute manual release to a 6-minute automated one, then took 38% off their monthly AWS spend.
Data Engineer
3+ years
Batch and streaming pipelines, warehouse modelling, and data that analysts actually trust.
Replaced a tangle of cron jobs with an orchestrated dbt + Airflow stack, taking a daily reporting run from 5 hours to 22 minutes.
Graphic Designer & Video Editor
2+ years
Brand, product visuals and video. The reason our clients' launch material does not look like a template.
Produces launch assets, demo videos and pitch material for client teams that have no in-house design function.
40+ vetted engineers across 6 disciplines, most of them working inside a client's team right now. We don't list them publicly because their current clients would rather we didn't, and because a name on a website is not evidence of anything. You meet the specific engineers for your role on the second call, with a written note on where each one is strong and where they are not.
Photographs of the core team are being taken this month. Until then everyone has a drawn mark rather than a stock photograph of someone else — the only placeholder on this site.
Every first call is taken by someone on this page who has written production code this year.