About me

I’ve spent 17+ years in product management, taking products from first idea to scale across consumer electronics, consumer sleep products, and healthcare software.

Until September 2026, I was a Senior Manager of Product Management at athenahealth. There, I led the athenaOne mobile app for Android from zero to one and scaled the iOS version. Together, they grew to 68,000+ monthly active users. I also built internal tools used by 1,200+ medical coders and led work to bring AI into product development and clinical workflows.

I use AI coding tools like Codex and Claude Code to build my own personal products and find out what the technology can and can’t do. My latest exploration, Uncork, is an offline AI sommelier that runs a small language model on my phone. I documented what worked, what failed, and where the app had to take control away from the model - Papers.

Uncork is one part of a wider habit of experimenting. I’ve led early AI initiatives at work, with case studies presented at the company’s public zone reviews and town halls. You’ll find some of those endeavours here.

I also run open models like Gemma, Qwen, and Muse Glimmer locally for personal and sensitive tasks, especially those with high token counts, which also saves runway on my paid services. I think they offer a big opportunity for privacy and personalisation, especially the one-user apps that no one will prioritise.

I don’t hold a computer science degree. Believe me, I wish I did. I’m not an AI/ML engineer either, and I’m clear about where my knowledge stops. What I do have is a love for the field and the opportunities it gives me. That’s why I’m studying AI ethics and governance. The real benefits of AI will come from trust, alignment and equitable access.

I’m optimistic about what AI can do for food security, healthcare, education and climate change. In fact, as a hobby, I explore social experiments where the technology can make a difference, such as a hypothetical design project on female literacy in India.

This site is where I document the experiments, the case studies, and the harder questions underneath them.

Experience

  • Healthcare Technology
  • Consumer Electronics
  • e-Commerce
  • Consumer Products
  • Digital Marketing

Recent Work

Foundations for a Conversational EHR

athenahealth, 2026

Laid foundational work for a conversational feature that changes how clinicians interact with the EHR. Questioning whether UI improvements in traditional type, point, and click were sufficient in addressing efficiencies, a small three-member team explored how a multi-modal experience could distill complex and nested information into a fluid, intuitive workflow.

POC work led to a Hackathon finalist place in early 2026, with groundwork commissioned soon after. The project uses the underlying technology that powers Sage, a text-based interactive chart bot that retrieves patient chart information. Our intention was to take that further, by summarising dense, but pertinent information, and helping the user move that information around as needed. For instance, during encounter prep, users could pull, summarise, and move information to exam sections ahead of the encounter.

This reduces documentation and reference times while improving patient face-time, and in part, addressing the long standing issues of administrative burden and physician burnout.

Pre-visit patient briefings

athenahealth, 2026

An AI summary of a patient’s last three visits, shown on the briefing screen of the React Native app and loaded into the patient context for an upcoming encounter, seven days out. In athenahealth’s Physician Sentiment Survey 2026, 92% of physicians said getting the right data at the right time is what matters, and 63% felt overwhelmed by the volume of information in patient charts. The feature condenses encounter documentation into point-of-care insights, written as short medically-inclined sentences, without independent medical conclusions. It was a good segue for embedding Sage (Chart bot) into the mobile platform.

AI-assisted product workflows

athenahealth, 2025-2026

Designed and ran workflows that connected LLMs to Jira, Confluence and Figma through MCP, spanning requirements, build and release work. Experimented with feature development of increasing complexity, testing viability and gains over traditional processes. Conducted early explorations of Github’s Spec-Kit and Amazon’s AI-DLC. Developed case studies, surfacing observations and perspectives, giving senior leadership a holistic view of how product development cycles are impacted by AI.

One example is "death by grooming", athenahealth's quarterly ritual for preparing the next quarter's roadmap, which normally takes 3-4 days of continuous meetings across the company's 200+ scrum teams. Questioning the need for that, I ran an experiment with one scrum team and condensed it into a single structured three-hour call. I adapted our ambient clinical documentation solution, using Teams and Copilot to draft meeting notes covering functional items, requirements, spikes and open questions. This led to PRDs with user stories and acceptance criteria, published to Confluence and Jira boards. That saved 18+ member hours in total.

Accessibility in clinical software

athenahealth, 2025

Led work that helped clinicians with visual disabilities use the iOS mobile app with VoiceOver, so that navigating the app and its contents didn't depend on sight. An estimated 1.3 billion people worldwide experience a significant disability, according to data from the World Health Organisation (WHO). This figure represents roughly 16% of the global population. Being a healthcare professional does not exclude you.

It was humbling and inspiring to see healthcare professionals with disabilities deliver care. What they need from us were the tools to help them do just that. Our platforms, facilities, devices, and more, should not be obstacles to overcome. Built right, they become extensions of what's possible.

For a little over a quarter, a dedicated team was assembled to tackle this growing need for accessibility. Along with a core group, I partnered with client-side providers to understand their circumstances, simultaneously working through the constraints of a built-up system that needed a retrofit. By mapping needs to workflow screens, we met the basic requirements for users with visual disabilities - navigating their schedules, viewing and acting on inbox tasks, and documenting encounters.

While this project did not deliver the big numbers we look for in typical commercial dashboards, the experience was rewarding and eye-opening, personally and professionally. In fact, this project influenced the development specs for all new features built thereafter.

The athenaOne Mobile app

athenahealth, 2021-2026

Built the Android app from zero to 6,000+ monthly active users, 27% above the launch target. Designed and executed the mobile go-to-market and engagement framework that grew the Android and iOS applications to 68,000+ monthly active users over three years, at >85% retention.

Over the course of the project, I worked on more than 35 features - building out complete sections of the patient's chart, a provider inbox with action-taking, schedules for providers and departments, and an exam documentation workflow that laid the foundation for dictation and ambient listening technologies.

Internal RCM tools for medical coders

athenahealth, 2021-2023

Shipped modular interactive web widgets inside three revenue cycle applications that surfaced the right clinical information in context for 1,200+ medical coders. Coders completed 1.5 additional tasks per day, bringing turnaround time closer to two working days.

Historically, coders worked through multiple disconnected applications to perform their tasks. This required them to carry a high cognitive load over a time-intensive and complex set of checks and entries. Ultimately, that led to errors and denials. It was hypothesised that embedding interactive widgets into a single point of operation would reduce both. The pilot tests showed a 10% efficiency gain. As a potential replacement to a legacy flow, user training was a critical component for a successful project.