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David Toy

David Toy

Engineer and technical founder who builds and ships LLM-based solutions

Talent
StirlingMember since July 9, 2026
PythonSQLTypeScriptJavaScriptMongoDBHTML/CSSMulti-agent LLM pipelinesPrompt engineeringModel evaluation and selectionAWS BedrockLLM testing/eval harnessesServerless microservicesAWSGCP App Engine / PaaSCloud VPS infrastructureSchema normalisationPyArrowPandasAirflowParquetmacOSWindowsLinuxQGISGeospatial
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PythonSQLTypeScriptJavaScriptMongoDB

About

Engineer and technical founder who builds and ships LLM-based solutions, with commercial and stakeholder judgement. I recently designed and built a multi-agent LLM pipeline for Appointedd, a B2B2C global bookings platform, working hands-on inside the client's team and stack. I am comfortable owning a solution end-to-end, translating for non-technical clients, and making cost and delivery trade-offs.

Backgrounds in software, product and programme delivery allow me to converse with both engineering and senior business stakeholders.

Experience

AI Solution Engineer at CodeClan, with Appointedd (2026-03 – Present)

Designed, built and tested a multi-agent LLM solution that surfaces customers' "Booked Intent" to unlock additional business value for Appointedd, built to the client's technical and data-governance constraints.

  • Multi-stage agent pipeline as a serverless microservice, designed to handle c.500k bookings per year. Currently in shadow/dark deployment, to evaluate performance against real world conditions.
  • Cost-aware model selection: evaluated all regionally available models on AWS Bedrock (client constraint) against the use case, then mixed models by pipeline stage – a lightweight model (Haiku) for data distillation and a highly cost-efficient model (GLM 4.5 Flash) with a detailed prompt for the final data-to-prose step – to balance quality against per-call cost.
  • Test harness and QA: wrote unit and integration tests plus a separate testing harness that hooked into each pipeline stage, enabling out-of-environment testing across customer and adversarial scenarios, and systematic prompt optimisation.
  • Adapted to the client stack: delivered in TypeScript with integration to MongoDB, moving outside my usual Python and Postgres.

Freelance Technology & Strategy Consultant at Self-employed (2026 – Present)

Short- and long-form engagements spanning technical and web development, programme management, business-case development, funding applications, and product and market analysis.

Programme Manager, St Andrews Forest at University of St Andrews (2021-01 – 2025-02)

Sole lead establishing the University's nature-based carbon-offsets portfolio. Owned strategy and business case end-to-end, taking the initiative from blank page to a signed 100-year research and sustainability partnership, delivering a first project of c.100,000 tonnes and multi-million-pound value with Corrour estate. Built trusted relationships and constructively challenged senior stakeholders across disciplines to reach agreement.

Product Manager, Marketing Manager at Cyan Forensics (2017-02 – 2020-08)

Child protection software for Law Enforcement, a domain demanding acute sensitivity to data privacy and ethical handling. Ran technical marketing during GTM (face-to-face and online), then pivoted to product management once traction had been achieved. Implemented CRM twice as we scaled-up and needed additional capability.

Technical Co-founder at GeometryGeeks.bike (2016-12 – 2022-06)

A side project that became a global product helping cyclists find the correct bike size by crowdsourcing validated geometry data. Successful exit via trade sale.

  • Built an ingestion-and-validation data pipeline: scraped a user-supplied page, used heuristics and statistics to locate the geometry table and normalise parameters across inconsistent manufacturer schemas, then returned the extracted data for human verification before publishing it to all users.
  • Scaled to c.100,000 monthly users on an SEO-led, near-zero CAC model, with a freemium tier (c.1% conversion to the paid add-on).

Product Engineer at InclusIQ Institute (2014 – 2016)

Led a small tech team (myself, a graduate, and a part-time consultant). Made the platform choice (Google App Engine / PaaS) and coached the junior engineer, steering them toward pragmatic engineering decisions. Designed the product, ran client-facing activities, secured grant funding, and edited e-learning and marketing content.

Education

Applied Agentic AI in Artificial Intelligence – CodeClan (2026)

Saltire Fellowship in Entrepreneurship & leadership – Babson College (2010 – 2011)

MPhil in Industrial Systems, Manufacturing & Management – University of Cambridge (2008 – 2009)

MEng in Electrical & Mechanical Engineering – University of Strathclyde (2002 – 2007)

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