SBSandeep Barhanpure

Engineering organizations · Platforms at scale · AI products

Engineering platforms that scale.
Teams that thrive.
Products that deliver.

I build AI products, enterprise platforms, and engineering organizations for hard operational work. I care about the teams as much as the technology.

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Sandeep Barhanpure
CurrentlyWalmart Health & Benefits Technology
Earlier chaptersAWS · MTM Health · RBL Bank
$60B+AWS private pricing
$6B+Walmart benefits
1.6M+associates & dependents
70+people led across orgs
60K+internal AWS sellers · SMGS
The thesis

The hardest technology problems are often organizational before they are technical.

The tools exist. The harder work is aligning product strategy, architecture, operating models, and an engineering organization capable of shipping—then building a shared foundation that helps teams do it again.

That pattern has traveled with me across cloud, financial services, and healthcare. Healthcare is a personal passion, not a boundary: I’m drawn to consequential systems in any industry where better engineering can materially improve how people and businesses operate.

Selected enterprise impact

Build the system. Build the organization.

Four chapters across financial services, healthcare, and cloud—each showing a different kind of work: operating systems, a product built from zero, simpler shared platforms, and enterprise scale.

Walmart

A people-led, tech-powered retailer helping people save money and live better.

2024 — Present

Director, Software Engineering · Health & Benefits Technology

Leading two portfolios: a member-facing benefits platform and a new healthcare business spanning product strategy, engineering execution, financial modeling, and organization design.

  • Platforms across a $6B+ benefits business supporting 1.6M+ associates and their dependents
  • Product and platform direction across an established business and a new build
  • Engineering leadership connecting the business model, systems, and team design
Chapter I value

What makes this chapter distinctive is the chance to modernize a platform supporting 1.6M+ associates and their dependents while shaping a new healthcare business—from strategy and financial model through the engineering organization that will deliver it.

Read the case study

AWS

Cloud infrastructure that helps organizations modernize, innovate, and secure how they operate.

2021 — 2024

Head of Engineering · Software & Analytics

Built and led the engineering organization behind enterprise contract and analytics platforms used by 60K+ internal AWS sellers and supporting the $60B+ AWS Private Pricing Program.

  • Engineering organization behind enterprise contract and analytics systems
  • Platform direction for complex commercial workflows
  • Platforms supporting 60K+ internal AWS sellers across SMGS
Chapter I value

The rewarding part was making the software and analytics behind a $60B+ commercial program easier for more than 60K internal AWS sellers to use and for engineering teams to build, run, and improve.

Read the case study

MTM Health

Removing barriers to care by connecting people with transportation, independence, and community resources.

2015 — 2021

Senior Manager · Software Engineering & Analytics

Joined as the first data and analytics hire, then built the technology function, platform strategy, AI/ML capability, member-facing products, and the company’s first commercial analytics product.

  • Created and sold the company’s first commercial analytics product
  • Turned an internal analytics capability into a repeatable commercial product
  • Built a 30+ person engineering and data-science organization from zero
Chapter I value

This was the zero-to-one chapter: I arrived as the first data and analytics hire and left behind a 30+ person organization and a commercial product serving Medicaid and managed-care clients.

Read the case study

RBL Bank

Customer-first banking built on trust, responsive service, and enduring relationships.

2010 — 2013

Head of Pricing & Operations · Consumer & Commercial Banking

Built pricing, reporting, and risk frameworks for consumer and commercial financial products, establishing operating standards later adopted across the institution.

  • Pricing frameworks across consumer and commercial financial products
  • Reporting and risk systems supporting business operations
  • Operating standards adopted across the institution
Chapter I value

This chapter taught me that durable platforms begin with operating clarity: pricing, risk, and reporting frameworks that started with individual products became standards used across the institution.

Read the case study

I still build

Three products. One recurring question.

What changes when a product or assistant starts with the underlying data, decisions, and workflows instead of being bolted onto an interface designed for forms and dropdowns?

A

Healthcare · Member advocacy

Member360

Live prototype

A member-advocacy prototype that explains what happened after a claim is adjudicated, who needs to act, which plan rule applies, and what to do next—without overriding the outcome or guessing.

Key boundary

Exact code mapping + named plan rules + plain-language next steps

B

AI coaching · Endurance

Ask Niko

Closed beta · Invite only

An AI endurance coach that brings Strava activity, Oura or WHOOP recovery, and training-time weather into one conversation so cyclists and runners can ask what to do today—and see the personal data behind the answer.

Key boundary

Strava activity + Oura or WHOOP recovery + weather, grounded in the athlete’s own record

C

Operations intelligence · Property management

Cadence AI

In daily use

An operations assistant for managers of 5–25 short-term-rental units that reads across property, pricing, cleaning, and accounting workflows, surfaces what needs attention, and waits for approval before writing back.

Key boundary

Built from one operator’s daily work, with human approval before every external write

Still building · Live from GitHub

The work continues between the titles.

I still write, review, and ship. This activity trail comes directly from my public GitHub account and refreshes throughout the day.

View the real account

Live profile activity

Jul 27, 2025 — Jul 29, 2026

2,971contributions

90active days

Monthly GitHub activity summary
MonthActive daysHighest activity level
July 202500 of 4
August 202500 of 4
September 202500 of 4
October 202500 of 4
November 202500 of 4
December 202500 of 4
January 202600 of 4
February 202600 of 4
March 202643 of 4
April 2026114 of 4
May 2026254 of 4
June 2026212 of 4
July 2026293 of 4

GitHub counts more than commits and may include private activity without identifying the work. This is a live build signal, not an impact scorecard.

QuietActive

Founder-led AI studio

My wife · Co-founder

Enterprise engineering, aimed at the work smaller businesses feel every day.

As founder of Terrain AI Labs, I work alongside my wife and co-founder to build practical, working AI for small and mid-sized businesses—systems shaped around real operations, tested on real data, and owned by the teams that use them.

Visit Terrain AI Labs

Operating principles

How I think about consequential systems.

A few ideas that travel with me from architecture reviews to product narratives to organization design.

01

Start with the operating truth.

The data model, decisions, constraints, and handoffs come before the interface—or the model.

02

Clarity is a system property.

In regulated and high-consequence domains, explainability is architecture, not a disclaimer.

03

Good platforms give teams room to move.

The best platform helps a team turn intent into a safe production outcome without joining another queue.

04

Human control is product design.

Agentic systems earn trust through visible boundaries, reversible actions, and honest uncertainty.

Mentoring · Giving back

Pass the hard-won lessons forward.

Mentoring is one way I give back what years of building engineering organizations, platforms, and products have taught me. I make time for engineers and product leaders who are stepping into bigger scope, navigating a hard problem, or trying to lead without losing the builder in them.

Building the organization

Make the team stronger than any one leader.

We can work through roles, decision-making, operating rhythm, and the conditions people need to do their best work.

Finding the platform

Turn repeated pain into a useful shared system.

We can separate the platform opportunity from the one-off request—and make adoption part of the design from the start.

Leading without a script

Stay clear when the answer is not.

We can talk through a real decision, the tradeoffs around it, and how to give a team direction without pretending uncertainty has disappeared.

Bring a real situation. I’ll bring an honest point of view, useful questions, and lessons that might save you a few wrong turns.

Build what matters

Hard operational problem?

I’m interested in conversations about building engineering organizations, platforms, and AI products—especially where operations are complex and the outcome matters. I also mentor engineering and product leaders navigating bigger scope or a hard transition.

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