Unstable Chimera
Current
Apr 2024 - Present
AeroLeads people directory · profile
Kayur Patel Email & Phone Number
Is our machines learning?
at
Meta
1 work email found
@apple.com
1 phone found area 206
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Who is Kayur Patel? Overview
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Quick answer
Kayur Patel is listed as Is our machines learning? at Meta, based in Seattle, Washington, United States. AeroLeads shows a work email signal at apple.com, phone signal with area code 206, and a matched LinkedIn profile for Kayur Patel.
Kayur Patel previously worked as Unstable Chimera at Meta and Doer of things at My Very Own Startup. Kayur Patel holds Doctor Of Philosophy (Ph.D.), Computer Science from University Of Washington.
Company email context
Email format at Meta
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{first}.{last}@apple.com
86% confidence
AeroLeads found 1 current-domain work email signal for Kayur Patel. Compare company email patterns before reaching out.
Profile bio
About Kayur Patel
Over the last two decades, the machine learning community has made amazing progress. Computers can recognize speech, diagnose cancer, and drive cars. Computers can do things that we could barely imagine years ago. So why aren’t there more products that use machine learning? Why do we need machine learning PhDs to train successful models? Why is building software powered by machine learning so hard? I think about these questions, search for answers, and in the process, end up building software that makes it easier for more people to use machine learning.
Listed skills include Machine Learning, Human Computer Interaction, Computer Science, Algorithms, and 18 others.
Current workplace
Kayur Patel's current company
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9 roles · 27 years
Kayur Patel work experience
A career timeline built from the work history available for this profile.
Doer Of Things
My Very Own Startup
Using LLMs for more than chat.
Sep 2023 - Apr 2024
Usable Ml Hipster
I noticed that good machine learning models did not lead to great products. I started the human centered AI research team and worked with the design studio to understand how machine learning impacts user experience, and based on that understanding, created machine-learning-based products and experiences that people love. We shared what we learned at WWDC and released new human-interface guidelines for machine learning. I eventually moved into the Design Studio and designed the vision for generative computing across Apple products.
Jun 2017 - Jun 2023
Blacksmith
I wanted to make it easier for teams to work with data and machine learning, so I started and led the Colaboratory team as part of Google Research, now Google AI. I also got to watch the rise of Google as an AI-first company, help teach the first large scale machine learning and data science courses at Google, and teach one of the first data science courses at Columbia University.
Dec 2012 - Jun 2017
Sep 2013 - Jan 2014
Graduate Student
I noticed that machine learning tools were hard to use and often used improperly. I studied machine learning engineers, understood their workflows, and built tools to make their jobs easier. I wrote a thesis that I’m proud of and whose underlying findings are still relevant a decade later.
Sep 2005 - Aug 2012
Research Intern
Sep 2009 - Jan 2010
Graduate Student
I wanted to learn more about machine learning, so I started a machine learning focused masters at Stanford. I happened to be in the room when Stanford decided to build a car for DARPA Grand Challenge and got to write the first paper from Stanford on self driving cars. I also moonlit in Jeremy Bailenson's virtual reality lab studying how people learn physical skills in VR settings.
2003 - 2005
~2 yrs
Undergrad Researcher
A series of disconnected, seemingly random events and interactions led me to study at Carnegie Mellon, take classes in computer science, machine learning, and design, work with a research team that built speech systems on wearable computers with head mounted displays, and apply to graduate school. These experiences set the groundwork for everything I’ve done since.
2000 - 2002
~2 yrs
3 education records
Kayur Patel education
Doctor Of Philosophy (Ph.D.), Computer Science
University Of Washington
Ms, Computer Science (Focus On Ai)
Stanford University
Bs, Computer Science And Human Computer Interaction
Carnegie Mellon University
FAQ
Frequently asked questions about Kayur Patel
Quick answers generated from the profile data available on this page.
What company does Kayur Patel work for?
Kayur Patel works for Meta.
What is Kayur Patel's role at Meta?
Kayur Patel is listed as Is our machines learning? at Meta.
What is Kayur Patel's email address?
AeroLeads has found 1 work email signal at @apple.com for Kayur Patel at Meta.
What is Kayur Patel's phone number?
AeroLeads has found 1 phone signal(s) with area code 206 for Kayur Patel at Meta.
Where is Kayur Patel based?
Kayur Patel is based in Seattle, Washington, United States while working with Meta.
What companies has Kayur Patel worked for?
Kayur Patel has worked for Meta, My Very Own Startup, Apple, Google, and Columbia University In The City Of New York.
How can I contact Kayur Patel?
You can use AeroLeads to view verified contact signals for Kayur Patel at Meta, including work email, phone, and LinkedIn data when available.
What schools did Kayur Patel attend?
Kayur Patel holds Doctor Of Philosophy (Ph.D.), Computer Science from University Of Washington.
What skills is Kayur Patel known for?
Kayur Patel is listed with skills including Machine Learning, Human Computer Interaction, Computer Science, Algorithms, Computer Vision, Teaching, Data Science, and Tomfoolery.
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