About

Ayan’s work centers on making data usable by the systems that need it. It started with retail point-of-sale integration at Cognizant, in Kolkata, Buenos Aires, and San Francisco. It moved through a supply-chain AI product at Noodle.ai, where the pipeline grew from GBs to TBs and the team from two engineers to eight. At Achieve, half a million customer profiles were unified into one governed lake on Google Cloud.

At Zendesk he leads AI-readiness work for the Zendesk Data Platform, a petabyte-scale Snowflake environment. The central question: what does a data platform need to look like before an AI agent can be trusted with it? The working answers are governed context, semantic layers exposed over MCP, and agentic workflows that keep a human at the review gate.

Outside work he builds personal projects end to end at Axiomic AI, his experimental, non-revenue playground for new technology. He also teaches on Built from Bits and The Practitioners Pod and mentors engineers making the move from pipelines to agents. He is a senior member of IEEE, a technical reviewer for Packt, and has spoken at IEEE AIC, Snowflake World Tour, dbt Summit, and the Applied AI Summit.