Engineering Executive. Platform, Data and AI

I translate complexity
into multi-year roadmaps

I start with a business problem that happens to need a platform underneath it, which means locating the moat, naming what caps it, and choosing the adjacency the business has earned the right to take next. Architecture is a capital allocation decision written in code, and it outlives the strategy that funded it. Over two decades I have built the platforms large products run on and the organizations that run them: teams of 200 and up across multiple countries, P&L ownership above $20M, acquisitions absorbed, and cloud, data and AI transformations at Shutterfly, Apollo Education, Pearson and Wood Mackenzie. I set the direction and the architecture, hire and grow the leaders who own delivery, and go deep myself on the decisions that are expensive to reverse.

Shridhar Navanageri
Build Greenfield and Legacy new platforms from zero, existing systems taken further
Scale Real-Time Identity multi-million profiles, peak traffic and thundering herd solved
Modernize Estates and Clouds datacenter consolidation, multi-cloud, monolith to microservices
Apply AI in Production agentic workflows, advanced RAG, evals, human in the loop
Lead Teams and Leaders 200+ engineers, hired and grown teams
Range Founder to Enterprise zero-to-one startups to global public companies
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Years building and leading platforms
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Engineers led across geographies
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P&L owned
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Availability held on Tier 0 platforms
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U.S. patents in AI and systems
Published

Bylined on Amazon's own engineering blogs, and the pattern behind them now built into Microsoft Copilot.

In the press

Work referenced in company and industry coverage. Click any item for how it maps back to the work above.

Wood Mackenzie2026 Synoptic: the agentic AI framework and Insight Assistant built on Wood Mackenzie intelligence

The agentic platform and MCP-based agent integration behind Synoptic, covered in more technical depth in the Machine Learning Blog post above.

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Pearson2026 AI-powered study tools for students and instructors, built into MyLab and Mastering

The student and instructor AI tools described in the four-platforms blog post, now shipped across Pearson's courseware.

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Midland Paper Clips2018 Shutterfly goes all-in on AWS, building its identity platform on Amazon Cognito

The Cognito-based identity platform and migration I led, detailed in the identity-at-scale blog post.

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eCornell #IMPACT2010 New adaptive learning platform from the University of Phoenix, personalizing instruction at scale

An early look at the adaptive learning platform work that began during my time at Apollo Education, University of Phoenix's parent company.

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Travel Weekly2009 TravelMuse introduces Embedded Web Search, a vertical search feature for trip planning

A vertical search feature I built early in my career, embedded directly into the trip-planning workflow rather than sending users elsewhere.

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Light Reading2007 Kasenna leads the IPTV test charge with a new portal launch and scale benchmark

IPTV middleware and scale-benchmark work from earlier in my career, before the move into education and enterprise platforms.

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The work, the method, the track record

Featured architecture

A layered, AI-first platform architecture

A layered, distributed reference architecture built AI-first. Applications and an API layer sit over a model-agnostic agentic framework, hub-and-spoke MCP, advanced RAG and MLOps, all on governed data foundations and shared platform-engineering infrastructure. Twelve interactive architecture diagrams, spanning agentic AI, data, distributed systems and modernization, and my platform first principles live on the dedicated page.

Inventions

11 U.S. patents

Across AI-driven learning systems and distributed systems. Most came from building adaptive education platforms, plus a 2025 patent on AI-generated adaptive course templates. Each one is explained in plain language on the dedicated page.

Get in touch

Let's build something that ships.

Standing up agentic AI, modernizing a data platform, or setting the governance that makes it responsible. I am always glad to compare notes with other builders and leaders.

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Built with AI, under my review. I build AI platforms, so I used them here. LLMs wrote much of the markup and styling; the architecture, narrative, experience, and every word are mine. The assistant runs in your browser: nothing sent, nothing logged.