I'm Will Leece,
a full-stack Dotnet developer based in the UK, currently building at Central Technology.
About
I specialise in real-time Dotnet systems, SignalR and multi-tenant dispatch, and in AI-output verification: building independent QA and checks around LLM-generated content rather than trusting model output directly.
Experience
- Feb 2025 – Present
Dotnet Developer at Central Technology
Chesterfield, UK
- Develop live, interactive wallboards powered by SignalR for real-time operational visibility.
- Implement AI automation with Semantic Kernel inside an agent architecture built on vertical slicing and shared context files.
- Oct 2022 – Feb 2025
Junior Dotnet Developer at Central Technology
Chesterfield, UK
- Built bespoke features across internal and customer-facing CRUD applications using ASP.NET Core, C#, and EF Core.
- Authored bespoke reports for recurring operational issues and data forensics that turn manual investigation into repeatable tooling.
Projects
Meducate API
A REST API that ingests medical data from MedlinePlus and PubMed, uses an LLM to classify and structure it into standardised medical categories, and serves it through a versioned interface refreshed daily. Nightly quality-control jobs check that AI-generated summaries haven't drifted from their source material and flag any that have for re-processing. Diagnosable topics are also cross-referenced against the WHO ICD-11 API and tagged with a real diagnostic code where a confident match exists.
Wayfarer
A natural-language query tool that plots results on a map, grounded in Wikidata rather than guessed by an LLM. An agent explores Wikidata's schema live and builds and tests a SPARQL query, then a verification gate checks the result against expected type, row count, and a second independent pass before anything reaches the map. Anything that can't be confirmed gets flagged in the UI instead of being blended in with the verified results.