Sairam KrishnanAt Apple, I led an eight-engineer team across Seattle, London, and partner sites in Europe and Latin America, and led architecture of the media knowledge graph for over 100 million users. At Amazon, I designed the Alexa Engine data platform that saved $40M a year. I keynoted the Philadelphia Eagles’ Eagles Care Summit for more than 300 leaders and earned Palmer Scholar honors (top 5% of class) in Wharton’s Executive MBA.
users on the media knowledge graph
Led architecture and cross-functional delivery of Apple's media knowledge graph, the canonical model unifying 15+ sources to power search, recommendations, and discovery for over 100 million users.
Drove the platform from batch to real-time streaming, re-architecting ingestion, similarity mapping, and graph generation from Spark onto an event-driven Flink, Kafka, and Cassandra stack.
engineers on Apple’s knowledge graph team
Led an eight-engineer team across Seattle, London, and partner sites in Europe and Latin America.
Mentored engineers to promotion, shaped performance reviews, and drove hiring.
engineers in the Apple Music Credits global launch
Led the four-office global launch of Apple Music Credits (Cupertino, Seattle, London, Singapore), coordinating a 15-engineer cross-functional program to deliver real-time credits curation for millions of tracks.
higher team velocity
Set the design-review and CI/CD standards that lifted team velocity 30%.
Owned the graph query services and the client library for partner teams to build on, and set the shared Protobuf contracts adopted across the platform.
fewer production incidents
Cut production incidents 45% with those same standards.
Built and shipped production agentic AI: an LLM ops assistant for debugging logs, traces, and metrics over MCP in natural language, and a skill platform that turned pipeline work into plain-English workflows for daily, on-call use.
saved a year
Designed a GraphQL data-aggregation and caching platform for the Alexa Engine, saving $40M a year.
Led an eight-engineer team on the Alexa Core Engine.
higher model accuracy
Lifted Alexa model accuracy 40% with the same platform, whose annotation-driven rule engine batched and clustered results to the right downstream services.
Mentored half the team from entry level to promotion, earning selection for Amazon's Mentorship and Leadership Development Program.
to onboard a new partner
Collapsed partner onboarding from two weeks to 15 minutes with a self-service rapid-deployment platform.
Owned operational excellence, driving the weekly issue count from 40 to 10 and re-engineering the new-user registration flow to cut peak-holiday customer issues tenfold.
leaders at the Eagles Care Summit
Keynoted the Philadelphia Eagles' 12th annual Eagles Care Summit at Lincoln Financial Field on March 18, 2026, delivering "AI for Impact" to more than 300 community and business leaders.
Designed an executive AI curriculum built on original Wharton research and taught it to C-suite leaders at HP, Morgan Lewis, PBS, and the Philadelphia Eagles, helping executives evaluate, govern, and deploy AI.
of the Executive MBA class
Earned Palmer Scholar honors (top 5% of class).
Won the Benjamin Franklin Award (peer-voted; one of three recipients in a class of 250).
Made the Director's List in all six terms.
“I am confident Sai will excel as a high-impact manager and a purpose-driven leader. Any organization would be fortunate to have him.”
I run architecture calls, design reviews, architecture audits, AI ROI reviews, and evals harnesses, advise engineering leaders on retainer, and teach masterclasses and deliver keynotes.
I keynoted the Philadelphia Eagles’ Eagles Care Summit for more than 300 leaders and delivered talks, courses, and workshops for HP, Morgan Lewis, PBS, Atos, and Carnegie Mellon.
I led eight-engineer teams at Apple and on Amazon’s Alexa Core Engine, mentored engineers to promotion at both, and drove hiring at Apple. Before that, I led real-time FINRA compliance surveillance at SIG and cut Windows 10 Mobile Mail power consumption 4x at Microsoft. I teach executives as CTO of Praxtera, and I earned Wharton honors and an M.S. from Carnegie Mellon with a 4.00 GPA.
I published, as first author, “Who Trains the Next Senior?” on managing software engineering when AI makes code cheap, a multi-layer framework for evaluating the return on investment of AI projects, and the Drone-Megaddon papers on drone-swarm control.
I built Ondoway, Persuaider, Lore / DependIQ, and Crucible.