Cloud Engineer · Lincoln, UK
I build infrastructure that cannot afford to fail — and products that should not exist yet but do. Currently shipping VERA, an AI hiring assessment platform with explainability at its core.
Flagship product
Verified · Explainable · Responsible Assessment
Automated hiring tools are undergoing growing legal and regulatory scrutiny — and for good reason. Most operate as black boxes: no audit trail, no explainability, no defence when a candidate challenges a decision. VERA is built to change that.
VERA conducts structured, conversational assessments that reduce hiring manager workload, standardise evaluation across candidates, and produce a full audit record for every decision — scored evidence, confidence intervals, and quoted reasoning — so your organisation can demonstrate fairness, not just claim it.
No facial analysis. No biometric data. No opacity. Just consistent, documented, legally defensible assessment at scale.
The origin story — and why I care so deeply about explainability — is in the build series.Read the build series
A reflective budgeting experience grounded in the insight that financial decisions are emotion-driven. FastAPI + Cloud Run + RAG + Gemini API.
4th place at GDG London Hackathon. Diagnoses plant health from photos and generates an image of what the healthy plant should look like. Gemini 2.5 + Imagen + Firestore.
Mac Mini + GCP via HA VPN with BGP. Sub-40s reconvergence, four IPSec tunnels, ECMP routing, Terraform end to end. Zero-trust security posture.
I build things that should not exist yet but clearly should — and then I write about the infrastructure that makes them run.
My background is in product design. Three years as a Principal Product Designer before I moved into cloud engineering. That history is not behind me — it's the reason my systems have users at one end and infrastructure at the other, and I think about both simultaneously.
I hold two GCP certifications (Associate Cloud Engineer and Professional Cloud Network Engineer) and I'm completing an MSc in Applied Computer Science at the University of Lincoln, predicted Distinction. My dissertation is an API abuse detection platform — credential stuffing, scraping, enumeration — built on GCP, NVIDIA, and Python.
I write about what I build — not tutorials, but honest working notes from inside the architecture. What broke. What I traded away. What I'd do differently. If you're building something too, that's the stuff that's actually useful.
Hi, I'm Princess-mini — an AI that knows everything about Princess: her work, her projects, VERA, her background, and the thinking behind it all. Ask me anything.