Medical-writing platform archive
2024–2026
A document-authoring product that fills medical writers' templates from a sponsor's own source documents, with redaction of confidential detail.
Used on
Engineering hiring and enablement
Undated
Internal hiring funnel, competency ladder and appraisal cycle that bring engineers in and develop them, run mostly in Asana.
Hybrid.Chat conversational platform
2023–2026
Hosted self-serve platform where businesses build chatbots from visual blocks and deploy them on web, WhatsApp and Mattermost with human handover.
Live sales-call assistant
2021–2023
A sales-enablement product that sits beside a live video meeting and shows reps cue cards, persona and sales stage.
Chatbot for a construction-trade marketplace
2023–2024
A chatbot for a United States construction-trade marketplace, delivered from scratch to the client's requirements and designs.
Government form-filling automation
2024
A conversational proof of concept where a robot fills a government driving-licence renewal form while the citizen watches.
Stories where it mattered
2021 · Hybrid.Chat conversational platform
High availability for a bot runtime that insisted on being in memory
- Situation
- The chatbot platform's runtime holds conversation state in memory, so under high availability any pod restart dropped live conversations.
- Task
- Survive pod churn without rewriting the conversational runtime the product was built on.
- Action
- I checked alternative frameworks, found the same limit, and kept the runtime: sticky sessions, state persisted to Mongo, and Redis pub/sub to close duplicates.
- Result
- The platform ran multi-container with state surviving restarts, and the design documented its failure modes, including those the fix introduced.
2023 · Hybrid.Chat conversational platform
Wanting to build it in house and buying instead
- Situation
- The bot platform needed web push notifications, and my instinct was to build it in house for future flexibility.
- Task
- Decide between building and buying, separating engineering reasons from personal preference.
- Action
- I wrote down what I wanted from in-house, weighed it against what the release needed, and recorded the preference and the decision against it.
- Result
- We shipped on the vendor, and the recorded trade-off made later customisation questions easy to answer.
Goes with
LLMs
Function Calling
Agent Orchestration
Multi-Agent Systems
Prompt EngineeringThrow me a paper plane
Write a line; I’ll find it in my inbox.