Arjun Aggarwal
I’m a founding engineer at Lightfield (opens in new tab) in San Francisco, where I work across the APIs, agent tools, workflows, and product surfaces behind our CRM.
This site is where I explain what I’m learning and keep track of restaurants, cities, films, music, and things I don’t want to forget.
Selected work
A few things I've worked on
all workLightfield
2025–presentFounding Engineer
Helped turn product operations into a public API and Python SDK used by Lightfield’s own agent, while building the task, review, and workflow systems around it.
Amazon Web Services
2024Software Development Engineer Intern
Built reporting and reconciliation infrastructure for roughly ten million financial events a month, designed around retries, partial failures, and reporting completeness.
Capital One
2023Machine Learning Engineering Intern
Improved motif-query performance by roughly 6× on a 900-million-edge card graph using GraphFrames.
Selected writing
Recent writing
all writingWhat building agent actions inside a CRM changed about how I think about chat, workflow state, and human control.
Log
From the log
full logJun 7 · thought
Agents need workflow state: The best AI products don't feel like chatbots. They feel like someone quietly cleaned up the workflow graph behind the scenes.
Jun 7 · album
Mk.gee, Two Star & The Dream Police: Night-driving music for a city you don't live in anymore. Still growing on me.
Jun 6 · film
Heat: Competence, loneliness, and LA at night. The diner scene still does more with two men talking than most films do with everything.
Jun 6 · restaurant
Trèsind Studio: Technically ridiculous. The pacing and the room mattered as much as the food.
Jun 5 · link
Agent evals and fake precision: Saving this because it explains why agent evals often become fake precision: clean numbers on a benchmark that doesn't resemble the real workflow.