Product Owner · Healthcare GRC & Clinical AI

I build AI products that solve real enterprise bottlenecks, not just AI demos.

I am a Product Owner specializing in regulated enterprise SaaS. I focus on translating complex clinical and compliance workflows into strict, measurable AI automation. I prioritize behavior over opinion, controlled automation over autonomous agents, and a written kill memo over shipping the wrong product.

Architecture

Claude + AWS Bedrock

Regulatory tier

FDA SaMD & HIPAA

Methodology

HITL, deterministic guardrails

Experience

4 yrs · NITK & NITAP

Productivity
+11.7%
Quotes per analyst / mo
147.0 vs 131.6 in 2025
Revenue
$500K+
ARR in 6 months
0→1 clinical radiology AI
Savings
$5–7M
Annual savings identified
Enterprise hospital client
Judgment
$1M
Spend killed on purpose
PHI/PII risk + negative ROI
Selected work

Shipped, measured, and honest about it

ShippedClaude on AWS Bedrock · Oct–Dec 2025 build

AI Quote Automation

A healthcare purchasing analytics team prices supplier quotes for hospitals. Before any of that judgment could happen, analysts retyped every line by hand. I led the AI + business-rules engine that replaced the retyping. The judgment stays with the analyst.

+11.7%
Quotes / analyst
+30.3%
Line items
FastAPI · ReactRead case study →
ShippedQuantiphi · 2022

B2B Checkout: Cutting Cart Abandonment 42%

A B2B procurement checkout with drop-off spread evenly across the flow, not concentrated at one step. That finding ruled out a single fix: iterative A/B testing across several targeted changes, not a redesign.

+42%
Reduction in cart abandonment
4
Changes tested
Enterprise Retail · B2B CheckoutRead case study →
Discovery to BuildEnterprise Healthcare GRC SaaS · 2026 · 1–2 months

Phoenix: Legacy Modernization Prototype

A solo rebuild of a 20-year-old desktop platform as a modern, AI-first web application. Roughly 60–70% of the legacy system is rebuilt completely; the rest is documented as a prioritized migration roadmap instead of pretended parity.

<1 min
AI extraction
100%
Recall, precision, row-perfect
Legacy Modernization PrototypeRead case study →
ShippedEnterprise Healthcare GRC SaaS · 2026 · Two solo POCs

Regulatory Intelligence Engine

We built a continuous monitoring engine that uses HTML scraping and Claude 3.5 Sonnet to translate regulatory changes into a strict Obligation → Policy → Action workflow, drastically reducing manual review time.

< 1 min
Scan per source
Claude 3.5
Sonnet on Bedrock
AI Compliance ToolingRead case study →
ShippedClaude on AWS Bedrock · 2026 · POC build

Clinical Evidence Extraction

Researchers review dozens of clinical trials to support treatment decisions. The bottleneck isn't search; it's standardizing buried data like participant counts, study designs, and conflicts of interest. We built a POC to automate the extraction while enforcing strict human oversight.

~2 days
Review cycle time
JSON
Strict schema format
Clinical Evidence ToolingRead case study →
FDA SaMD · CommercializedQuantiphi × Enterprise Pharma · 2023–24

Clinical Radiology AI

0→1 radiology platform, multi-tenant, FDA SaMD-compliant. We pivoted the MVP from speed-first to interpretability-first, and adoption followed.

$500K+
New ARR
68→88%
NLP accuracy
Clinical Radiology AIRead case study →
Killed ProjectQuantiphi · 2023 · Discovery phase

The $1M Project I Killed on Purpose

A well-scoped, technically exciting AI initiative. Compliance blockers we'd have hit at integration. A recommendation to terminate, before a single sprint was burned.

$1M
Engineering spend avoided
0
Sprints wasted
Healthcare / Life SciencesRead case study →
Personal BuildPersonal build · 2026 · In daily use

Command Center

A single-file, offline-first workspace that unifies tasks, follow-ups, and links across a multi-product portfolio, built because no enterprise tool treats "who am I waiting on" as a first-class thing.

<5 sec
To capture a task
0
Approvals or infra needed
Internal Productivity ToolRead case study →
How I work

Regardless of the domain, the loop is the same.

01

Break down ambiguity.

Sit with the team, map the real workflow.

02

Define success metrics.

North Star, primary, guardrail, before claiming anything.

03

Validate with data.

Behavior over opinion; measured over owner-reported.

04

Balance value vs. risk.

A kill memo is a deliverable, not a failure.

05

Decide fast, measure always.

Ship the narrow slice; let usage tell you what's next.

Colleagues say

"Empathy-driven leadership that few senior leaders ever develop - and he has it early in his career."

I've worked with Hemanth for the past year, and I can say without hesitation that he is one of the most talented Product Owners I've had the pleasure of working with. Hemanth has complete command of his product space and is exceptionally well organized.

What sets him apart is his leadership. During a recent challenging quarter, he shields his team when things are hard and gives them the spotlight when things go well. That's empathy-driven leadership that few senior leaders ever develop, and he has it early in his career.

His technical and AI capabilities are equally impressive. He pairs that skill with strong requirements gathering, stakeholder management, and a genuine talent for solving hard problems calmly and methodically. Hemanth is going to be a senior executive leader someday soon. I'm certain of it.

July 2026 · Senior to KrishnaS, did not manage him directly

Let's build what actually ships.

Available for AI product leadership roles across regulated healthcare, GRC, and enterprise SaaS.