Platform Copilots Solutions Customers Resources Security Book a Demo →
Lalit Kundu, Co-Founder and CTO of Pelica Health
Founders

Lalit Kundu

Co-Founder & CTO, Pelica Health

US Healthcare. Wharton MBA. Ex-Google leader (YouTube Commerce Billing, 45-engineer org).

Lalit Kundu is co-founder and CTO of Pelica Health, a Y Combinator-backed company that has raised $2.5M to build the AI operating system for value-based care. He leads engineering on the canonical-record data layer, the role-specific AI copilots, and the action layer that closes the loop with members and providers.

Lalit spent seven years at YouTube and Google. Most recently he was Staff Engineer and Engineering Manager at YouTube Commerce Billing, serving as area tech lead for a 45-engineer organization and direct manager for a team of eight. His teams launched YouTube TV Sunday Ticket and ran YouTube's reseller programs. Before that he led twenty-plus engineers on multi-quarter projects worth $400M+ in incremental ARR, redesigned core billing infrastructure, and shipped integrations including Google Play billing. He began his career at Google Pay in Hyderabad, launching UPI collect flows now used by more than 40 million people a year.

Outside of his day job, Lalit spent eight years organizing competitive programming worldwide. He curated more than 200 algorithm challenges and led 50+ volunteers across CodeChef, HackerRank, HackerEarth, InterviewBit, SPOJ, and Google Kick Start, reaching more than 300,000 participants. He has been ranked among the top 0.1 percent of competitive programmers globally.

Lalit is an MBA candidate at The Wharton School (Class of 2027, currently on leave of absence to build Pelica). He is an invited member of the Forbes Technology Council, where he publishes on software engineering, AI, and healthcare. He was interviewed by the Chief Information Officer of the New York Stock Exchange on theCUBE about AI agents and the future of software engineering. He is a current participant in Y Combinator (YC X25).

At Pelica, Lalit writes about the unglamorous data engineering that determines whether healthcare AI helps or hallucinates.

Connect: LinkedIn lalit@pelica.com

Recent writing

Risk Adjustment

Prospective vs. Retrospective Risk Adjustment

What belongs in your stack, and why splitting them across vendors creates blind spots.

Security & Compliance

Is healthcare AI HIPAA compliant? What SOC 2 Type II actually means

What HIPAA actually requires of an AI vendor, and what SOC 2 Type II proves about how it runs.

Founders

Why we started Pelica Health

A founder letter on why we left Google to build the operating system for value-based care.

Risk Adjustment

V28 Risk Adjustment Readiness: a 90-day playbook

CMS V28 cuts average MA risk scores ~3% as the phase-in completes in 2026. Audit, operationalize, defend.

Audit Defense

Building a RADV-Defensible HCC Capture Program

Seven design choices that turn an HCC capture program into one that survives audit.

All posts

Read the full blog

Operator-grade notes on value-based care, V28, Stars, RADV, ECDS, and what we ship.

See Pelica on data that looks like yours.

30 minutes. We bring a working canonical record stitched from your sample feeds. You bring the operations problem.

Book a Demo → Read the blog

Operator-grade notes on value-based care.

V28 traps, Stars cut points, RADV patterns, and what we ship. A couple of emails a month, no fluff.