Naveen Kumar at sunset over the city
About

Hey, I'm Naveen.

I've spent 15 years in healthcare tech, most of it at Treatspace, trying to make the front door to care actually work. I'm a data nerd who fell into product leadership and never looked back. This page is the person behind the writing.

Based in Pittsburgh15+ years in healthcareProduct and engineering

My story

I have been developing software since 2011, with 15+ years leading cross-functional teams to ideate, design, build, and launch healthcare SaaS, with a special focus on patient access. For the last decade at Treatspace, I helped take the company from a referral network to a full AI-first patient-access platform, and I now lead engineering, product, and a company-wide AI-first transformation.

My work lives at the crossroads of strategy and engineering: turning messy clinical problems into products real care teams actually adopt, and holding AI to the evidence rather than the hype.

Experience

2020 — Now
VP, Engineering & Product Management · Treatspace

Leads product and engineering for an AI-centric patient-access platform ($3.9M ARR, $8.9M lifetime value). Scaled the org from 6 to 47 across 8 functions.

2025 — Now
Consultant · Scale The Product (BI Collaborative)

End-to-end BI for a human-services provider: a three-layer Azure SQL pipeline and Power BI dashboards to optimize staffing.

2019 — 2020
Technical Product Manager · Treatspace

Owned the roadmap through the PracticeBeat build: 400+ use cases, ~80 shipped deliverables, and the path to cash-flow-positive.

2017 — 2019
Engineering Manager · Treatspace

Led agile delivery of PracticeBeat and established the Agile practice, lifting engineering productivity 30%.

2016 — 2017
Data Analytics Consultant · Treatspace

Built the company's first ML clinical decision-support model, lifting referral adherence from ~45% to over 85%.

How I help

Areas where I do my best work.

◇

Engineering & product leadership

Org design, hiring, board reporting, and product strategy from discovery through delivery.

Leadership
◎

Generative AI & ML

LLM orchestration with Claude and OpenAI, agents and RAG, evaluation and guardrails.

AI / ML
△

Patient access & healthcare SaaS

Discovery, eligibility, scheduling, and referral loops that get people to care.

Domain
▤

Data science & analytics

Python, SQL, ML scoring models, and BI in Power BI, Tableau, and Looker.

Data
◈

Data engineering

Medallion pipelines on Azure SQL and BigQuery, ETL, and PHI governance.

Engineering
◉

Platform & interoperability

Kubernetes on GCP, FHIR R4, HL7, EHR integration, and HIPAA security.

Interop

How I work

◇

Start with the care experience

Watch the real workflow before writing a single requirement. The desk, the queue, the clinician with forty seconds.

◎

Hold AI to the evidence

Ship what is credible, name what is overstated. The hard part is rarely the model, it is the adoption.

△

Build for adoption

Measure success in workflow change and edited output, not in features shipped.

◈

Scale the team, not just the product

The organization that ships is the real deliverable. Hire well, then get out of its way.

Education & certifications

Carnegie Mellon University
M.S. Healthcare Policy & ManagementBusiness Intelligence, Data Analytics · 2016
B.S. Information Systems2011
Certifications
PMPCSPOAI PM NanodegreeAI for HealthcareITIL 4LSSGB
Beyond the work

When I'm not deep in a roadmap, you'll find me in Pittsburgh with my wife Hallie, our two golden retrievers Cece and Lucy, and our newest addition, a brand-new baby who is keeping us happily sleep-deprived.