Amar Subramanya Age, Wiki and Bio

Amar Subramanya

Quick Info

ProfessionAI Researcher
NationalityAmerican
Date of BirthXX/XX/1974
AgeUnknown
BirthplaceBangalore, Karnataka, India

Bio/Wiki

Full NameAmarnag Subramanya
Known ForBeing Apple's newly appointed AI Vice-President

Physical Stats & More

Height5' 8" (173 cm)
Eye ColorLight Brown
Hair ColorBlack

Educational Qualification(s)

Colleges/Universities
  • Bangalore University, Bangalore
  • University of Washington, Washington
Degrees
  • Degree: Bachelor's of Engineering (B.E.) Field: Electrical, Electronics and Communications Engineering Years: 1997-2001
  • Degree: Doctor of Philosophy (PhD) Field: Years: 2005-2009

Personal Life

HometownMenlo Park, California, USA
ReligionHinduism
Marital StatusMarried

Relationships & More

Wife/SpouseArpita Desai

Family

SpouseArpita Desai

Career

OverviewAmar Subramanya's career began shortly after his graduation when he worked as a software engineer at IBM in Bangalore. He then took a significant step by interning at Microsoft, focusing on machine learning. After moving to the USA for his PhD at the University of Washington, Amar co-authored an influential technical book while earning a Microsoft Research Graduate Fellowship. His expertise led him to join Google as a staff research scientist in 2009, swiftly ascending to the role of principal engineer by 2017 and eventually vice president of engineering by 2019, where he worked on Google's advanced AI initiatives. In July 2025, he transitioned to Microsoft as Corporate Vice President, managing the AI models that underpin Microsoft Copilot, before taking on a leadership role at Apple in December 2025, aiming to enhance Apple's AI capabilities.

Some Lesser Known Facts

Amar Subramanya grew up in Bangalore before embarking on his professional journey.
He briefly worked at IBM following his graduation before moving into machine learning.
His PhD research focused on semi-supervised learning techniques that address limited labeled data in AI training.
At Google, he was instrumental in working with Google DeepMind on large model development over more than 16 years.
He was recognized for his contributions with a Microsoft Research Graduate Fellowship during his PhD studies.