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Saket Joshi Email & Phone Number

AI/Machine Learning Engineer at Google
Location: San Francisco Bay Area, United States, United States 10 work roles 3 schools
3 work emails found @cyc.com 1 phone found area 512 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 3 work emails · 1 phone

Work email s****@cyc.com
Direct phone (512) ***-****
LinkedIn Profile matched
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Current company
Role
AI/Machine Learning Engineer
Location
San Francisco Bay Area, United States, United States
Company size

Who is Saket Joshi? Overview

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Quick answer

Saket Joshi is listed as AI/Machine Learning Engineer at Google, a company with 315106 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at cyc.com, phone signal with area code 512, and a matched LinkedIn profile for Saket Joshi.

Saket Joshi previously worked as Senior Software Engineer at Google and Applied Scientist at Amazon. Saket Joshi holds Ph.D., Computer Science (Artificial Intelligence And Machine Learning) from Tufts University.

Company email context

Email format at Google

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{first}.{last}@cyc.com
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AeroLeads found 3 current-domain work email signals for Saket Joshi. Compare company email patterns before reaching out.

Profile bio

About Saket Joshi

Artificial Intelligence and Machine Learning expert. Strong experience in logic based systems and neural systems. Research Interests:Artificial Intelligence and Machine Learning with emphasis on Decision Theoretic Planning, Knowledge Representation, and Natural Language Understanding.

Listed skills include Machine Learning, Algorithms, Artificial Intelligence, Data Mining, and 12 others.

Current workplace

Saket Joshi's current company

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Google
Google
AI/Machine Learning Engineer
California, United States
Website
Employees
315106
AeroLeads page
10 roles

Saket Joshi work experience

A career timeline built from the work history available for this profile.

Role listed

California, United States

Senior Software Engineer

Current

Mountain View, CA, US

I work on research and engineering problems in AI and Machine Learning.

Jan 2020 - Present

Applied Scientist

Seattle, WA, US

I engage my knowledge of Artificial Intelligence and Machine Learning to solve science problems in personalization, natural language understanding, and experiment design for Amazon's Alexa voice assistant.

Sep 2016 - Jan 2020

Member Of Technical Staff

Austin, Texas, US

Sep 2012 - Aug 2016

Computing Innovations Fellow (2010-2012) And Post Doctoral Researcher

Corvallis, OR, US

Co-developed a novel architecture for automated robots planning to act in hostile and partially observable environments. Developed new algorithms for efficient automated planning in large, complex and highly noisy domains. Wrote scientific papers describing the methods and results.

Oct 2010 - Aug 2012

Visiting Scientist

Wake Forest University, School Of Medicine

Developed advanced prediction models by leveraging the latest research methods from Machine Learning for solving the following problems in Bio-Medicine. (1) Prediction of cardiovascular risks in older adults before clinically apparent heart disease occurs, based on assessment of multiple risk factors (e.g. age, family history, medical history, psychosocial.

Oct 2011 - Feb 2012

Graduate Research Assistant

Medford, Massachusetts, US

Invented First Order Decision Diagrams (FODDs), a new formalism for representing complex knowledge bases. Developed the theory, algorithms and prolog software for solving relational Markov decision processes (MDPs) using FODDs. Wrote scientific papers describing the results. Relational MDPs have applications in automated planning and reinforcement learning.

Sep 2004 - Oct 2010

Associate Member Of Technical Staff

Cycorp Inc

Designed application domains and wrote software for the DARPA funded Bootstrap Learning (BL) project. BL is a new paradigm for creating intelligent machines.

Jun 2008 - Aug 2008

Software Engineer

Microsoft Corp

Served as a test engineer at the Sustained Engineering Team and the Tablet PC group. Set up the environment for deployment of software tests. Ran automated testing scripts.

Jan 2004 - Jul 2004

Graduate Research Assistant

Corvallis, OR, US

Designed and implemented a Java based system that employs recurrent sliding windows to model and classify sequence data. This system is designed to work with the popular Machine Learning software library, WEKA. Designed experiments to evaluate classifier performance. Wrote a Masters thesis and a scientific paper describing the results. Sequential data.

Apr 2002 - Oct 2003
3 education records

Saket Joshi education

Ph.D., Computer Science (Artificial Intelligence And Machine Learning)

Tufts University

Ms, Computer Science (Machine Learning)

Oregon State University

B.E., Computer Engineering

University Of Mumbai
FAQ

Frequently asked questions about Saket Joshi

Quick answers generated from the profile data available on this page.

What company does Saket Joshi work for?

Saket Joshi works for Google.

What is Saket Joshi's role at Google?

Saket Joshi is listed as AI/Machine Learning Engineer at Google.

What is Saket Joshi's email address?

AeroLeads has found 3 work email signals at @cyc.com for Saket Joshi at Google.

What is Saket Joshi's phone number?

AeroLeads has found 1 phone signal(s) with area code 512 for Saket Joshi at Google.

Where is Saket Joshi based?

Saket Joshi is based in San Francisco Bay Area, United States, United States while working with Google.

What companies has Saket Joshi worked for?

Saket Joshi has worked for Google, Amazon, Cycorp, Oregon State University, and Wake Forest University, School Of Medicine.

How can I contact Saket Joshi?

You can use AeroLeads to view verified contact signals for Saket Joshi at Google, including work email, phone, and LinkedIn data when available.

What schools did Saket Joshi attend?

Saket Joshi holds Ph.D., Computer Science (Artificial Intelligence And Machine Learning) from Tufts University.

What skills is Saket Joshi known for?

Saket Joshi is listed with skills including Machine Learning, Algorithms, Artificial Intelligence, Data Mining, Java, Natural Language Processing, Perl, and C.

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