My workshop for product thinking
and AI experiments.
I'm Suyash Tandon. I build products, experiment with AI, and write about what I learn along the way. Trusted by teams operating across 13 international markets. This site is less a résumé and more a place to think out loud - case studies, essays, and works in progress.
I work at the intersection of AI, data platforms, and operations - building tools that help global teams move faster.

Get new essays in your inbox.
Honest writing on product strategy, AI experiments, and navigating tech. No spam, unsubscribe anytime.
Case studies from the workshop
Standardizing Global Quality Operations
Replaced paper forms and localized spreadsheets with a single quality platform used across 13 distribution centers.
↳ Unified quality reporting across 13 markets · 30% fewer customer-impacting errors
Automating Global Warehouse Localization with AI
Integrated Meta's NLLB translation engine into the CMS so new features rolled out to non-English markets in minutes, not weeks.
↳ Localization lead time: weeks → minutes
Building a High-Performance L2 Support & Delivery Engine
0 → 1 L2 support and delivery framework - shielding engineers from interruption while giving leadership true capacity visibility.
↳ Framework adopted as the blueprint across platform teams
From The Product Garage.
The Real Interview Hidden Behind 'Tell Me About a Time You Failed'
The story you choose matters less than the decision-making framework it reveals - a HelloFresh case study on feature deprecation, dependency, and what interviewers are really listening for.
Read the summaryHubSpot Didn't Launch AI Agents. It Changed the Job Description of a CRM.
Why AI products are suddenly priced and described as employees instead of features - and what that shift means for the systems we build on.
Stakeholder Conflicts Are Never Really About the Product
What building a product for assembly-line workers taught me about stakeholder conflict, user research, and the value of being uncomfortable.
The products I care about solve messy, unglamorous problems for real people - and then quietly get out of the way. That's the standard. Not just shipped - actually used, actually trusted, actually improving someone's day.
