Products, data, infrastructure and AI. Client work and products I’ve helped build.
Client work, team projects and products from a company I co-founded. I omit names and sensitive data where confidentiality applies.
Product, interfaces, backend, AI extraction, payments and infrastructure. One technical point of contact.
A platform I built as a co-founder to combine research, analysis and review through an interface or API.
A system for extracting report data, checking trace quality and exploring the information collected.
External feed, retained files, normalization and a shared API. Widgets deliver the data to the group’s portals.
In development
Alongside client work, I’m building dia: a new venture combining wearable sensors and artificial intelligence to understand movement, starting with running.
Explore diaAI workflows identify target companies, assess fit and prepare focused campaigns. A product from the company I co-founded.
Interprets patients’ natural-language input and prepares a structured food-diary draft, including macronutrient calculations.
Patients enter their triage information. The system suggests a priority code and shows who is waiting in real time.
Aggregates, translates and rewrites international news. Deployed during the GPT-3 era, before ChatGPT launched.
Analytics modules covering millions of vehicle telemetry records, with dashboards for fuel use, routes and maintenance planning. Experience within company teams.
A backend for lawyer-to-lawyer assignments, with location-based matching, notifications, payments and training content.
Clock-ins, leave requests and overtime managed across the employee lifecycle.
Cross-checks active ingredients against patient information during prescribing and flags potential contraindications.
A mobile app linking mini-games and a virtual economy to automated donations.
Territory analytics, forecasting and sales dashboards for a multinational food company. Experience within company teams.
Thousands of photos and videos described and tagged with AI, then made searchable through natural-language queries.
Before each call, a workflow gathers the prospect’s website, public information and market signals into a structured briefing.
Several months working with a European startup on AI pipelines for healthcare. Further details are covered by an NDA.
