ThoughtSpot
Embedded
Created and scaled the embedded analytics product suite, bringing interactive, AI-powered analytics into other applications through developer tools and SDKs.
ThoughtSpot profileEngineering Fellow / VP of Engineering · ThoughtSpot
I build the platforms that bring AI and data into everyday work. My focus is enterprise AI agents, embedded analytics, and the developer experience that makes them useful.
ThoughtSpot Embedded · Spotter · MCP
Architecture, product, and engineering leadership
Author · Conference speaker · IEEE Senior Member
I joined ThoughtSpot in 2015 as one of its early engineers. Since then, I’ve helped build its foundational product experiences and shape the architecture of its AI and developer platforms.
Created and scaled the embedded analytics product suite, bringing interactive, AI-powered analytics into other applications through developer tools and SDKs.
ThoughtSpot profileCo-architected ThoughtSpot’s AI Analyst and helped define shared infrastructure for production agents: state, streaming, memory, orchestration, and secure tool use.
Read the architecture perspectiveLed ThoughtSpot’s Agentic MCP Server integration, connecting AI clients to enterprise analytics through a governed, natural-language tool interface.
Explore the MCP integrationTalks, keynotes, and panels on production AI, MicroAgents, analytics, and developer platforms. Recordings are linked where available.
WeAreDevelopers World Congress North America
San Jose, CA
API World + CloudX + AI TechWorld
Santa Clara, CA
AICamp Silicon Valley
ThoughtSpot · Mountain View, CA
TechEquity Ai · Enterprise AI at Scale
Snowflake Silicon Valley AI Hub · Menlo Park, CA
ACM San Francisco Bay Area Chapter
Valley Research Park · Mountain View, CA
AI DevSummit + DeveloperWeek Management
South San Francisco, CA
API Developer Experience Meetup
Postman office · San Francisco, CA
A book, technical articles, and practical guides—from conversational interfaces and web performance to shared agent infrastructure.
Advanced Concepts for Senior Software Engineers
Coauthored with Sayantan Ghosh. An exploration of the architecture behind modern AI and data systems.
IndiePress
Explore the bookWhy shared agent infrastructure belongs in a platform, and what product teams should own.
A practical survey of web workers, scheduling, and parallel rendering approaches.
The case for shipping embeddable interfaces alongside APIs to shorten integration time.
With Sayantan Ghosh. Vol. 8, S10, pp. 634–643. DOI: 10.63278/jicrcr.vi.3421.
With Jessica Hwang. Connecting AI clients to governed enterprise analytics through MCP.
Building embedded experiences that feel native to the application around them.
Adding interactive analytics to a React and TypeScript application.
Putting ES6 generators to practical use for infinite scrolling.
Using tokenized input to make search more expressive and provide immediate feedback.
A functional approach to conversational context, with the bot-context library.
Co-inventor on U.S. patents spanning natural-language analytics, conversational interfaces, and intelligent search. Related grants are grouped by invention; application publications are labeled separately.
Guiding users toward related analyses and useful modifications of search results.
Interpreting natural-language questions for structured data analysis.
Maintaining conversational context across successive analytical requests.
Published application with co-inventor Nikhil Yadav.
Named co-inventor; assignee: ThoughtSpot. Records checked September 2026. Linked records include grant and application history.
Contributing to research evaluation, professional communities, and industry recognition.
2025 judging service, listed in my resume. Also listed in the Business Intelligence Group’s public judge directory.
Judge directoryListed among DevNetwork’s industry advisory board members.
Advisory boardListed as an Associate Editor on SARC Publisher’s editorial team.
Editorial boardConference reviewer / committee entries follow my September 2026 resume. Source notes
Interviews, profiles, award coverage, and mentions of my work. Authored contributions appear in the writing section above.
A conversation about a decade of building enterprise analytics—and what changes when AI becomes part of the product.
Episode title as published by the host.
Gerrita Bikker’s profile of Ashish’s work on embedded analytics and accessible AI.
Organizer recap of the enterprise SDK talk, with presentation and recording links.
Named among 50 technologists recognized in the inaugural Tech Innovator Awards.
The award announcement lists Ashish as Principal Engineer / Director of Engineering at ThoughtSpot.
Credits Ashish with building a COVID-19 forecasting application.
Personal projects and ThoughtSpot repositories featured on my GitHub profile. Practical tools for developers, interfaces, and conversational systems.
Web screenshots at scale using headless Chrome.
Functional tools for maintaining conversational context in chatbots.
Runtime text tokenization for interactive web experiences.
KeyboardEvent.key-compatible key codes with TypeScript definitions.
Customizable analytics components for applications.
Exploring multithreaded DOM rendering.
My work brings together systems architecture, front-end engineering, and human–computer interaction. Before ThoughtSpot, I worked on web products at GoDaddy and maps and hyperlocal research at Nokia.
Outside work: snowboarding and surfing.
Engineering Fellow / Vice President of Engineering
Senior Software Engineer · Website Builder
Research Software Engineer · Maps and Hyperlocal
Research Intern · Human–Computer Interaction
BS / MS in Computer Science & Engineering
IEEE Senior Member
Built In Tech Innovator Award, 2021