Selected product work
Current focus Building Tubali AI, an AI operating system for construction project delivery, starting with cost and project controls for fit-out firms and expanding to coordinate design, engineering, procurement, sustainability, and contracts across the broader construction industry.
Built document-aware AI workflows for search, comparison, and reviewable editing inside a collaborative writing environment. The work also covered persistent conversations, shared document state, and local, desktop, and cloud project storage.
Developed connected workflows for screenplay search, proofreading, writing assistance, and generative media. The systems coordinated models, images, voices, audio, and video while keeping long-running work visible, recoverable, and connected to project state.
Delivered reading, search, localization, analytics, and text-to-speech across web, iOS, and Android. Alongside the application work, improved the pipeline that converts complex PDFs into structured screenplay data.
A non-linear route into software
Today, I work where thoughtful interaction design and difficult system architecture need to be considered together across AI product systems, collaborative documents, construction project delivery, and cross-platform persistence.
Eight years of teaching and research shaped how I work. I investigate carefully, test assumptions, explain complex ideas clearly, and keep the people using the product in view.
Education
MSc and BSc (ABET-accredited) in Construction and Building Engineering, AASTMT
Front End Developer Track, Skillcrush
Trajectory
Product leadership · Product engineering · Engineering education · Applied research
Co-founder & CTO
Building an AI operating system for construction project delivery, beginning with cost and project controls for fit-out firms.
Senior Software Engineer
AI-assisted document tooling, collaborative editing, local-first storage, full-stack product systems, and distributed media workflows.
Engineering Lecturer & Researcher
Eight years teaching construction and building engineering, mentoring students, conducting research, and improving academic workflows.
Researcher
Building-energy modelling and decision-support research for urban planners and policymakers, culminating in a published book chapter.
How I approach the work
Research taught me to investigate carefully. Teaching taught me to make complexity clear. Product engineering taught me to carry both through to delivery.
Careful investigation, tested assumptions, and a clear definition of the intended outcome come before implementation.
The user experience and technical system are designed together, because each influences what the product can do and how it feels to use.
Complex and AI-assisted workflows should remain understandable, reviewable, and reversible.
The expected flow is only the starting point; what happens when things go wrong matters just as much.
Investigate · Model · Build · Verify
Let’s talk
I’m open to helping teams shape complex ideas into products people can understand, trust, and use.