Abhishek Anand.

UX Engineer at Google. Building agentic AI tools, full-stack systems, and the data pipelines underneath them.

I build tools that help researchers find answers and teams understand their data. Here I share the work, the decisions behind it, and what I learn along the way.

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Abhishek Anand — Currently in Bengaluru
Working at Google · Open to conversations

Writing

Recent writing.

All writing

2026-09-13 · 9 min read

AI Needs a Writing Standard

How I make AI responses easier to read with writing rules in AGENTS.md and CLAUDE.md, lessons from technical writing standards, and existing rewrite skills.

Agentic AI

2026-04-25 · 18 min read

Architecting the Agentic Enterprise: Gemini, ADK, A2A, and A2UI

Notes from building on this stack. What each layer actually buys you, where the demos break in production, and the calls I would tell my past self to make sooner.

2025-01-27 · 15 min read

AI Agents in the Enterprise: What Actually Changed in 2025

A look at how enterprises are actually deploying AI agents: multi-agent orchestration, memory-augmented personalization, and the implementations that survived contact with production.

Selected work

Projects I’m proud of.

See full archive

Google Ads Central

In production at Google

Agentic research tooling

Agentic desk-research tooling for UX researchers. The system pulls together third-party reports and analyst data, then reasons over them with a multi-step agent. Built on the Agent Development Kit with Gemini, A2A for delegated subtasks, and A2UI streaming the agent's steps as it works. I built the ingestion pipelines, the agent orchestration, and the front-end.

ADK · Gemini API · A2A · A2UI · Python · Data Pipelines

Conceptual workflow

Reports & analyst data
Multi-step research
Synthesised findings

Google Ads Central

Live at Google

Internal ads analytics hub

Led development of the analytics hub Google Ads Central UX teams use to explore research and product data in one place. Angular on the front, GoogleSQL underneath.

Angular · JavaScript · GoogleSQL · Material Design

Google Ads Central

In production at Google

Natural-language data exploration agent

An agent that lets anyone query a large internal ads dataset in plain English. It finds the right tables through retrieval over curated schema knowledge, writes and runs the SQL through tool calls, then explains the result with charts and full data lineage. I built the retrieval, the orchestration, the evals, and the UI.

Gemini · RAG · NL-to-SQL · GoogleSQL · Data Lineage

Conceptual workflow

Plain-English question
Schema retrieval & SQL
Charts & data lineage

Google Assistant

+20% daily active users

Duplex for Web: Brazil General Elections 2022

Built an assisted workflow that helped Brazilian voters find their polling booths during the 2022 general elections. Daily active users grew 20% during the launch window.

JavaScript · Web APIs · Accessibility · I18n

What I do

A short list of the things I’m good at, refined over fifteen years.

Agentic AI engineering

Multi-step agents on the Agent Development Kit, Gemini for reasoning and synthesis, A2A for splitting work across specialised agents, RAG with hybrid retrieval, NL-to-SQL, the ingestion pipelines that feed them, and the evals that keep them honest. Most of my recent work lives here.

UX engineering

The seam between design and code. I write the interfaces, the interactions, and the thousand small defaults that decide whether a product feels considered or not.

Full-stack engineering

Comfortable shipping from the database up through the layout: JavaScript and TypeScript on the front, Node and Python on the back, with the data plumbing in between. I like the parts where systems meet each other.

Architecture & technical leadership

Designing systems that are honest about their tradeoffs, and helping the engineers around me make good calls when no one is watching. 17 years of doing this across startups, scale-ups, and Google.

A working note

I'm most interested in the parts where systems meet each other. The seam between design and code, between agents and the people they serve, between the messy data and the clear interface that finally makes it useful.

Working principle, since 2010

Why work with me

What I bring to a collaboration.

Range with depth

Agentic AI tooling at Google today; before that, frontend architecture, Drupal platforms, and cloud work on GCP and AWS. I can hold the whole system in my head, not just my corner of it.

Experience leading

I have run teams of 15+ engineers and helped scale an engineering centre from zero to 200 people. Comfortable owning delivery, not just code.

A bias for shipping

Most of my career has been spent getting things across the gap between a promising demo and a product people rely on. That last mile is where I do my best work.

Work in the open

Co-maintainer of Drupal modules with 100K+ downloads, and a DrupalCon speaker. I like sharing what I learn, in code and on stage.

Get in touch

Let's Collaborate.

If you're hiring, exploring a collaboration, or just want to compare notes on agents and interfaces, my inbox is open.

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