Arjun Aggarwal
Founding engineer at Lightfield, building agentic CRM and customer-context infrastructure in San Francisco.
I’m interested in systems that turn scattered context into useful work: agents, APIs, workflow automation, developer tools, and the infrastructure around customer-facing teams.
Selected work
Where I've worked
all workLightfield
2025–presentFounding Engineer
Building infrastructure for agentic CRM: public APIs, workflow automation, agent tools, human-in-the-loop review, notifications, and core customer-facing product surfaces. The work is about making customer context actionable for both people and agents.
Amazon Web Services
2024SDE Intern
Built financial reconciliation infrastructure for high-volume payment events. The work was about reliable systems: tracing failures, preserving reporting completeness, and making financial data trustworthy as it moved across services.
Capital One
2023ML Engineering Intern
Worked on graph ML infrastructure for large-scale card and customer relationship data. I spent a lot of that internship studying how Twitter and Facebook modeled social graphs, especially systems like TAO, and started to see how much product intelligence comes from making relationship data queryable. This is where the context-graph thread started.
Selected writing
What I'm thinking about
all writingAgent Harnesses, Not Chatbots
forthcomingWhy the next useful AI products will look less like chat windows and more like workflow systems with a model inside.
A short note on why useful agent products feel less like chat windows and more like quietly maintained workflow graphs.
Why Customer Context Is Becoming Infrastructure
forthcomingA short essay connecting Lightfield, CRMs, forward-deployed engineers, and why the customer system-of-record is up for grabs again.
From the log
Lately
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.