PhD Economics, UCLA · Member of Technical Staff, Applied Science at Coframe

Jonathan Gu

Economics, machine learning, and decision systems.

I build production systems where a model has to make a real decision, leave enough evidence to audit it, and improve without outrunning its guardrails.

Jonathan Gu with his family

Work

Work worth inspecting.

The production marketplace systems come first. Current independent work carries the same discipline into agent memory, adaptive experimentation, neighborhood food, and local coordination.

Instacart Ads Automated Bidding

Budget-based marketplace ads bidding, return estimation, pacing, simulation, and production rollout.

Instacart Growth Machine Learning System

Causal targeting from experiment outcomes: expected incremental effect, budget allocation, and policy evaluation.

Instacart Inventory Intelligence

Item-store availability and fulfillment ML with noisy catalog, store, shopper, and operational signals.

Building now

ocbrain

Local, source-backed shared memory for Codex, Claude Code, OpenClaw, and other MCP clients. It retrieves bounded context from private history, expands exact sources on demand, and records whether the context actually helped.

Fresh garden produce on a backyard table
Building now · Live

Bountiful Garden

A phone-first neighborhood marketplace for homegrown food. Neighbors can make a garden, post what is ripe, discover nearby harvests, message each other, and arrange a share or trade.

Building now

The Decision Loop / Coframe Brain

A working book about the system between generation and allocation: propose safely, assign traffic, log what happened, join outcomes, and decide what is worth learning next.

Newest pilot

RackeTapp

A trilingual, mobile-first pilot for finding players to join an already-booked Hong Kong tennis court, splitting the fee, and getting lawful availability alerts—without automated booking.

Stringstep

A collaboration system for turning ambiguous work into inspectable plans, evidence, and clean handoffs without hiding the reasoning that produced them.

Policy Agent

A retrieval-first policy assistant that keeps source documents, jurisdiction, and privileged operations visible instead of answering from a generic policy-shaped memory.

Pelican

An inspectable forecasting and decision dashboard built around calibration, uncertainty, and the difference between a model score and a decision worth taking.

Contact

Jonathan Gu

Member of Technical Staff, Applied Science at Coframe. Economist and machine learning engineer in San Francisco.