Aishwarya Naresh Reganti

AI researcher and consultant. Early AI researcher at Alexa and Microsoft; published over 35 research papers. Co-teaches the top-rated AI product course on Maven with Kiriti Badam. Has led or supported over 50 AI product deployments across Amazon, Databricks, OpenAI, Google, and numerous startups and enterprises.

Work covered in this wiki

• Aishwarya and Kiriti on AI Products — Lenny’s Podcast, 2025. Two fundamental differences of AI products; CCCD framework; agency-control trade-off; evals.

Key ideas

• Non-determinism and the Agency-Control Trade-off as the two defining differences of AI products.
• CCCD (Continuous Calibration, Continuous Development) — AI development lifecycle framework analogous to CI/CD.
• Success triangle for AI product orgs: great leaders + good culture + technical prowess.
• Problem-first approach — 80% of AI engineering time should be spent understanding workflows and user behaviour, not building pipelines.
• Semantic diffusion of “evals” — the term now means too many different things; the underlying principle is building an actionable feedback loop.

External

• LinkedIn: Aishwarya Naresh Reganti