Senior AI/ML engineering leader at Apple. Wharton MBA 2026. Eleven years building the platforms, then the teams that ship them.
Eleven years across Apple, Amazon, Microsoft, and Susquehanna International Group — growing from engineer to the leader other engineers want to work for. Today I lead an eight-engineer team at Apple, spanning three continents, that ships AI-powered platforms for more than 100 million users.
I pair distributed-systems and ML-platform depth with impact that holds up in the room: $40M saved per year at Amazon Alexa, 40% better data quality and 30% faster delivery at Apple. I'm equally at home in an architecture review, an executive briefing, or a 2 a.m. incident bridge.
I build teams, process, and tooling around a clear conviction about this moment, and publish the research behind it — a Wharton MBA earned in full while leading at Apple, and papers on SSRN and engrXiv.
And I ship by hand to this day — Apple's LLM-powered operations assistant and an agentic skill platform now used on-call, plus independent ventures in multi-provider LLM orchestration and full-stack products. I sell the strategy because I can still build the system.
Every role on one axis. Bar weight is scope, and rows that overlap were held at the same time — school and first jobs at one end, Apple with Wharton and Praxtera at the other. Scroll the plate, or click a row.
Executive MBA, Class of 2026 · University of Pennsylvania. Five majors: AI in Business, Business Analytics, Operations Information & Decision-Making, Entrepreneurship & Innovation, Strategic Management.
Benjamin Franklin Award, Palmer Scholar, graduation with honors, Director's List in all six terms. First-author research on enterprise AI ROI published on SSRN under faculty sponsor Prof. Gad Allon. All earned while working full-time at Apple.
Dean's List all three years. Selected coursework: Cloud Computing, Cyber-Intelligence & Cyber-Security, Distributed & Real-Time Embedded Systems, How to Write Fast Code.
“Sairam stands out for the consistency and substance he brought to every aspect of the program. He was always well-prepared, contributed thoughtfully, and had a clear ability to connect classroom concepts to practical, real-world situations in a way that benefited the broader discussion.”
“Equally important is how he supported those around him. Sairam was generous with his time and knowledge, readily offering help and insight to classmates and strengthening team outcomes without seeking recognition. He approached his work with focus and discipline, while maintaining a collaborative, grounded presence.”
Seven recommendations written over ten years by classmates, teammates, and senior engineers, plus my manager’s own words from four review cycles at Apple. All verbatim.
“Sai is one of the most impressive peers I met at Wharton. He combines deep technical expertise in AI and engineering with genuine empathy, strong intrinsic motivation, and a rare ability to bring together individuals with very different perspectives and personalities. He leads with clarity and purpose, consistently elevating the performance of those around him.”
“In team settings, Sai naturally takes on complex, high-stakes challenges that require a sophisticated blend of analytics, operations, decision-making, and executive communication. He not only develops sharp, well-structured solutions, but also brings them to life as a compelling storyteller, equally effective with colleagues, senior stakeholders, and board-level audiences.”
“I am confident Sai will excel as a high-impact manager and a purpose-driven leader. Any organization would be fortunate to have him.”
“Sairam has a deep commitment to his work; if there is something that needs to be completed, he acts on it immediately. As such, over time, I and others in our team rely on him for this response.”
“That rapid response to challenges is combined with a relatively rare combination of both solid technical ability and a sense of ownership over the issues he addresses. He learns the context surrounding a problem rapidly, he can accelerate into new domains quickly and collaborate well with other teams when a solution requires input from various areas of expertise.”
“He continues to provide support to those around him, whether by removing obstacles for colleagues, expanding on his own responsibilities or providing a consistent source of calmness during stressful periods.”
“As a result, Sairam will make a tangible impact on any engineering organization.”
“He is usually the first person in the team to step forward to take up any challenge. He is technically very strong and always puts extra effort to get things moving. Many times I felt comfortable discussing problems and solutions with him.”
“Sairam is a great engineer; he’s very knowledgeable when it comes to system design and continuously seeks out new ways to improve the projects he works on. A great team player who works both diligently and smartly.”
“Sairam is very detail oriented and at the same time has a bias for action. He often comes up with new tools and ideas for simplification that makes the team more efficient and productive.”
“The requirements were initially soft and he was willing and able to iterate back and forth as the requirements became clear. He included reasonable testing and validation. The jobs run reliably every day without intervention. It’s good solid code.”
“Sairam is a quick learner and eager to tackle different technical problems. Sairam is great to work with and makes the team better with his contributions.”
“Sairam has established himself as Trinity’s expert on our curation infrastructure. He is a valuable team player, always willing to help others and step in to explain a new concept, pair program, or debug a tricky problem. Team members all know they can count on Sairam to provide high quality code reviews that encourage the whole team to write better Scala code.”
“As Issue Response Lead, Sairam takes ownership of both maintenance of the production systems and the ongoing releases, and communicates with the team when issues are ongoing. He also served as an important mentor to an engineer on the Data Products team, helping her ramp up effectively on this complex system.”
Open to senior AI/ML engineering leadership roles — VP, Director, or Head of AI/ML Engineering — and to speaking engagements.