AI & software projects

Problem

Customers of an insurance claims platform had to call or log in just to ask "where's my claim", tying up staff time on questions the claim record could already answer.

Approach

Built a conversational assistant with dual-mode authentication and a web front end, deployed as coordinated services behind a gateway so it can answer plain-language status questions without a phone call or a login.

Outcome

Verified across four user roles and eleven real claims in structured acceptance testing, giving customers a plain-language status answer on demand instead of a support queue.

Problem

A short-stay property manager had to check several booking calendars by hand to work out which properties needed a clean before the next guest arrived.

Approach

Built a scheduling service that polls each property's booking calendar, detects new bookings by comparing snapshots over time, and automatically generates a cleaning task for every booking's checkout date, with a web dashboard for monitoring.

Outcome

Turned a manual, error-prone calendar check into an automated daily task list, removing the need to cross-reference bookings by hand.

Problem

Programs for Crestron AV control systems could only be developed and tested against physical touchpanel hardware, so every developer needed the real kit on the bench before a single line could be exercised.

Approach

Implemented the vendor's native control-over-IP protocol from scratch as a C# socket server, using a circular buffer to handle the TCP stream and a connection layer that accepts real touchpanels and virtual panels alike, with digital, analog and serial joins abstracted behind event-driven views.

Outcome

Control-system programs can be built and tested end to end with no physical hardware present, including list, keypad and D-pad interface objects, with protocol handling kept separate from application logic.

Problem

An operator coordinating crews across a large remote site needed shared live mapping, team tracking, messaging and navigation on their own phones, still working with no signal. The open platform that does all of that is built for specialists, and far too complex to hand to general field staff.

Approach

Built an Android app on an open-source field coordination platform, layering a simplified role-based interface over its mapping engine, and moved the whole native toolchain into a multi-stage container build that compiles the geospatial libraries for 64-bit Android and assembles the app in one pass.

Outcome

A role-simplified build of a specialist field coordination platform that ordinary crew can actually use, with its native dependency chain reproducible from a single containerised build instead of a hand-configured developer machine.