Founder and engineer

Pamela Chia

I do growth engineering at Supabase, working across product, data, and experiences for AI agents.

My foundation is in behavioural game theory, econometrics, and full-stack data systems. I think about the design of the slope: the choices that turn an idea into something people can use, and the systems that keep it working. A little bit of slope makes up for a lot of Y intercept.

01 / Selected work

Making complex systems useful

The job is keeping the large goal in view while translating local actions into global results.

Full-stack growth systems across teams

I joined Supabase in 2023 and built across frontend, backend, data, and infrastructure. My work included event APIs and product analytics, lifecycle email and resource-usage notifications, consent management, and self-service compliance experiences, working with engineering, Legal, and customer-facing teams.

Public proof

Extending growth to AI agents

More recently, I extended that work to agents: structured CLI output, discovery interfaces connecting documentation, APIs, and MCP endpoints, and measurement of how agents find and use the product.

I also build agent-assisted engineering workflows, with response evaluation, explicit verification, and human decisions for production remediation.

Public proof

Algorithms and mathematical modelling

At Vase, I built a balanced population sampling algorithm and worked on data pipelines, architecture, and internal products, progressing from analyst to engineer to lead. My economics research studied organisational incentives and technology adoption through behavioural game theory and agent-based modelling.

02 / Background

How I got here

Before Supabase, I co-founded SISU Wellness and served as its CTO. I led product and engineering from concept through launch.

I studied economics at Warwick, graduating with an MSc with Distinction. My dissertation, More than Money: Motivated Agents, Organisation Goals, and Organisational Structure, explored behavioural game theory. My undergraduate research, The Way We Learn: A Game of Technology Adoption for Self-Tuning Agents, used game theory and agent-based modelling.

The fun is working with good people on important problems, the kind I respect and suspect are better than me.

Outside work

Recursive self-improvement on an individual level is my whole thing. I read widely, keep a second brain to connect ideas across books, projects, and everyday life, and work to increase the pace of my personal experimentation.

03 / Contact

Get in touch

Everyone carries a map of reality that feels obvious to them and invisible to everyone else. Conversation is how we compare maps. I am always glad to meet people thinking seriously about what to build next.

For AI tools

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