Started with Impact Collab's Expert Pod in late 2025 — eight business owners coached through one-week pods, four detailed proposals delivered. Converted to paying engagements in early 2026.

Four productised offers, low to high: a Single Session ($300), a Group Block for a cohort of three ($600 a seat), a four-session Coaching Block ($1,000 — the standard way in), and a monthly Continuation Retainer ($650). All coaching, not done-for-you: I teach you to build and run your own AI executive assistant rather than hand you a black box.

The EA system running this site is the live demo of what you'd build.

Architected an end-to-end data pipeline to lower the barrier to entry for environmental impact assessments. The team's messy multi-source data lake became a three-tier warehouse — raw, processed, analytics-ready — with scientist-facing monitoring interfaces.

Delivered using Claude Code as an AI development collaborator. The approach was systems-thinking plus rapid iterative delivery in a team used to constrained, precision-first scientific work. The science team's domain knowledge was facilitated into operational tooling rather than replaced.

One public component: an 8-step river mesh-generation pipeline at github.com/cradsdavis-cell/mesh_generator.

Python PostgreSQL Claude Code Geospatial

Three years tutoring second-year engineering students in mechanics and dynamics — small-group teaching, exam-marking, course assistance.

Known for an engaging, intuitive style and psychological safety in the room. Asked by the course coordinator to author the full second-year exam.

Three-and-a-half years at the DARE ARC Training Centre developing BayeSpace — a Bayesian statistical framework applied across atmospheric dispersion modelling and species distribution modelling.

Two novel empirical findings landed in the thesis: oceanic atmospheric dispersion appears more intense than Pasquill–Gifford terrestrial models predict; and a 20% spatiotemporal grid-coverage threshold below which species distribution data becomes unusable.

Presented at six conferences. Industry placement at Xylo Systems (biodiversity AI startup).

One-week sprint with the Centre for Environment, Fisheries and Aquaculture Science (Cefas). Facilitated a team of ten data scientists from scratch to a working pipeline by Friday, with deliverables across feature engineering, model selection, and a final presentation to the Cefas marine team.

The sprint shape stuck. The same pattern shows up in the AI consulting work and in the Wildly Calm retreats: take a group through something hard, hold the room, and ship by the deadline.

Six-month placement applying a genetic algorithm to optimise the geometry of a small satellite antenna array. Built the optimiser and a UI to drive it.

Antenna optics was new — taught it to myself in the first month from journal papers and textbooks. The same self-teaching shape repeats across the career: orbital mechanics at ESA, Bayesian methods at DARE, Claude Code and MCPs in 2025–26.

Nine months at a Manchester mobile-software consultancy after the MPhys — production software engineering across multiple languages and frameworks. Foundation for the end-to-end data and AI systems work that followed.

Left to take the PhD route at Sydney via the DARE ARC Training Centre.

At 22, a summer intern at ESTEC working on the FLEX Earth Explorer mission. Calculated the delta-V budget and propellant requirements for the satellite's operational lifetime.

Built a probabilistic Monte-Carlo alternative to the standard worst-case method. Invited by the team to co-author the approach as a scientific paper. Orbital mechanics was new — taught it to myself from textbooks in the opening weeks.

A year between school and university teaching A-Level physics and maths to Year 12 and 13 students at Harrow International Bangkok. Pastoral duties in a boarding house. Ran a weekly rock-climbing programme.

Organised the school's annual charity event (A4D). First serious teaching experience — the draw was the holistic shaping of young people, not the subject delivery.

The thesis developed BayeSpace, a Bayesian statistical framework applied across atmospheric dispersion modelling and species distribution modelling. Two novel empirical findings: oceanic atmospheric dispersion appears more intense than Pasquill–Gifford terrestrial models predict; and a 20% spatiotemporal grid-coverage threshold below which species distribution data becomes unusable.

Trained as part of the DARE ARC cohort — the federal training centre for data science in environment-and-water research. Six conferences including the Alan Turing Institute Data Study Group. Industry placement at Xylo Systems (biodiversity AI startup).

Research ran 2022–25; the thesis was lodged in May 2026, with conferral later in 2026 — which is why the role above reads 2022–25 and the degree reads 2022–26.

Joint degree in Mathematics and Physics, awarded First Class. Placed 4th in the physics cohort at the end of third year (cohort of ~250–300 at A*A*A entry).

Two years at the Welsh-medium sixth-form college in Dolgellau, north Wales. A* in Mathematics, A* in Further Mathematics, B in Physics; AS-Levels in Geography, Chemistry and the Welsh Baccalaureate.

A Welsh-medium state comprehensive in Blaenau Ffestiniog, in the heart of Eryri (Snowdonia) in Gwynedd. Five years of secondary schooling through GCSE.

Non-elite-to-elite contrast that recurs across the career: state Welsh-medium → Harrow Bangkok at 18 → Manchester MPhys → PhD at Sydney.

Co-founded with Lockie Ranson and Kieran Maguire in 2025. Three retreats run so far — Camp Bunya, Malabar Leaning Circle, Croajingalong — plus ongoing community events.

The format proven at Croajingalong: take a group through something hard, build a safe container inside the discomfort, expand and learn within it, integrate on the way back. Branding led by Rosie.

An eight-layer wiki and a tiered library of 50 skills, wired to Todoist, Google Workspace, WhatsApp, Slack, Otter, GitHub, Overleaf, Playwright, Perplexity, Canva, Nano Banana, YouTube and Google Maps via MCP.

It runs the consulting pipeline, the career applications, the daily planning, the decisions log and the public sites — including this one. It's also the live blueprint for what I coach founders to build.

Claude Code Obsidian 13 MCPs Python hooks

A carbon-accounting prototype for the UK consultancy Greener Edge. Eleven specialised agents handle scope-by-scope intake, factor lookup against Climatiq, methodology selection, audit logging and the customer-facing report.

The most sophisticated of the 2025 builds. Never productised — Greener Edge re-engaged on a different shape in 2026.

PostgreSQL Climatiq API RAG Multi-agent

A conversational research assistant for biodiversity questions, pulling structured occurrence data from GBIF and synthesising it against Perplexity-sourced literature. Built in n8n.

n8n GBIF Perplexity OpenAI

A natural-language interface over second-hand outdoor-gear marketplaces. Describe the trip and the budget, get matched listings with a fit assessment. Spec only.

A companion app for the Wildly Calm retreat methodology — daily prompts, breathing practice, a place to sit with the post-retreat integration. Concept stage.

A pyrolysis-as-energy concept aimed at rural waste-management in low-income geographies. The origin pre-dates the AI builds — Kyrgyzstan 2021 and Lombok 2023 surfaced the same problem twice. Concept stage.

A first attempt at the executive-assistant pattern in early 2025 — GPT over a Notion knowledge base. Worked enough to surface the right shape, not enough to be reliable. Superseded by the Claude Code build in late 2025.