Andrew Maas
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Andrew Maas Email & Phone Number

VP of AI Engineering at micro1
Location: Mountain View, California, United States 19 work roles 2 schools
1 work email found @stanford.edu 2 phones found area 443 and 650 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email a****@stanford.edu
Direct phone (443) ***-****
LinkedIn Profile matched
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Current company
Role
VP of AI Engineering
Location
Mountain View, California, United States
Company size

Who is Andrew Maas? Overview

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Quick answer

Andrew Maas is listed as VP of AI Engineering at micro1, a with 1265 employees, based in Mountain View, California, United States. AeroLeads shows a work email signal at stanford.edu, phone signal with area code 443, 650, and a matched LinkedIn profile for Andrew Maas.

Andrew Maas previously worked as Co-Founder & CEO at Pointable and Instructor: Applied Machine Learning at Uplimit (Formerly Corise). Andrew Maas holds Doctor Of Philosophy (Ph.D.), Computer Science from Stanford University.

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Email format at micro1

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{first_initial}{last}@stanford.edu
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AeroLeads found 1 current-domain work email signal for Andrew Maas. Compare company email patterns before reaching out.

Profile bio

About Andrew Maas

Andrew Maas is a VP of AI Engineering at micro1. He possess expertise in machine learning, artificial intelligence, computer science, python, neural networks and 8 more skills.

Listed skills include Machine Learning, Artificial Intelligence, Computer Science, Python, and 9 others.

Current workplace

Andrew Maas's current company

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micro1
Micro1
VP of AI Engineering
Angels Camp, CA, US
Website
Employees
1265
AeroLeads page
19 roles · 13 years

Andrew Maas work experience

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

Vp Of Ai Engineering

Angels Camp, Ca, Us

Co-Founder & Ceo

Current

San Francisco , California, Us

Enabling enterprises to accurately and easily connect internal data feeds to large language model workflows.

Jul 2023 - Present

Instructor: Applied Machine Learning

Current

Teaching the Machine Learning Foundations track with Mike Wu, Julie Kallini, Kevin Wu, and Eric Wu. I teach two 4 week project-driven online courses covering ML modeling and best practices for any scale of ML project. Introduction to Applied ML is for new practitioners, and Data-Centric Deep Learning covers more advanced approaches and tools to get deep learning working on real problems.https://uplimit.com/track/ml-foundations

Oct 2021 - Present

Scientific Advisor

Current

Palo Alto, Ca, Us

Mar 2021 - Present

Lecturer

Current

Stanford, Ca, Us

Teaching Spoken Language Processing (CS224S)Course covers traditional and deep learning approaches to building conversational agents and spoken language understanding systemsLecture slides and course details:http://cs224s.stanford.edu

Apr 2017 - Present

Senior Manager

Cupertino, California, Us

Special Projects Group.Team lead building algorithmic approaches and tools for large-scale, data-centric deep learning. My teams are responsible for producing high quality labeled data with a mixture of human and machine annotation, along with data-centric tooling to address long-tail deep learning performance challenges for robot autonomy.

Oct 2019 - Jun 2023

Co-Founder & Chief Scientist

San Mateo, California, Us

(Acquired by Parexel) Roam empowers healthcare companies to derive structured meaning from language data to improve healthcare for all.Defined product and technology strategy. Built and led cross functional engineering teams working on a platform for healthcare natural language processing. Led technical sales efforts and requirements gathering from customers.

Jun 2013 - Sep 2019

Senior Research Scientist

Newton, Ma, Us

Building neural network approaches to spoken language understanding.Acquired by Microsoft in 2018

2015 - 2016 ~1 yr

Phd Candidate

Stanford, Ca, Us

Dissertation: Deep Neural Networks in Speech RecognitionAdvisor: Andrew NgSecondary Advisor: Dan JurafskySee my research website for details.

Sep 2009 - Apr 2015

Technical Advisor

Palo Alto, Ca, Us

Worked closely with engineering team to architect approaches to speech recognition and spoken language understanding to enable the wit.ai platform for developing spoken language understanding models.Wit.ai was acquired by Facebook in 2015, and went on to form the foundation for Facebook's M Messenger agent, as well as other spoken language understanding projects.

2014 - 2015 ~1 yr

Analytics Software Engineer

Mountain View, Ca, Us

Building machine learning tools for massive online education

Sep 2012 - Dec 2013

Vice President Of Product Development

Navprescience Inc.

Personalized and predictive navigation solutions

Apr 2009 - 2013

Research Intern

Ibm

Armonk, New York, Ny, Us

Worked with Brian Kingsbury on the speech research team. Developed novel deep neural network approaches to acoustic modeling for multiple languages, and with limited amounts of training data.

Jul 2012 - Sep 2012

Research Intern

Redmond, Washington, Us

Worked with Dong Yu and Li Deng on the Microsoft Research Speech Team. Developed deep recurrent neural network acoustic models for conversational telephone speech

Apr 2012 - Jun 2012

Nih Research Fellowship Independent Research In Machine Learning / Ai

Pittsburgh, Pa, Us

Developed technique for one-shot learning with Bayesian networks. Resulted in a paper presented at Cognitive Science Conference in 2009

May 2008 - May 2009

Teaching Assistant

Pittsburgh, Pa, Us

Assisted Prof. Tai Sing Lee teaching computer vision in spring 08 and spring 09.

Jan 2008 - May 2009

Student Researcher -- Mapprentice Project

Carnegie Mellon Robotics Institute Mapprentice Research

Advised by Dr. J. Andrew Bagnell. Developed particle filtering tools for GPS data. Led a small software development team to create personal navigation device software

Mar 2006 - May 2009

Student Researcher -- Littledog Team

Carnegie Mellon Robotics Institute Darpa Littledog Research Team

Advised by Dr. Chris Atkeson and Dr. J. Andrew Bagnell. Developed robotic simulation software. Developed Kalman filter for sensor integration. Assisted graduate students in preparing software for monthly evaluations

Sep 2005 - May 2008

Junior Consultant

Data Tectonics, Inc

Lotus Notes database development

Sep 2003 - Aug 2005
2 education records

Andrew Maas education

Doctor Of Philosophy (Ph.D.), Computer Science

Stanford University

B.S., Computer Science & Cognitive Science

Carnegie Mellon University
FAQ

Frequently asked questions about Andrew Maas

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

What company does Andrew Maas work for?

Andrew Maas works for micro1.

What is Andrew Maas's role at micro1?

Andrew Maas is listed as VP of AI Engineering at micro1.

What is Andrew Maas's email address?

AeroLeads has found 1 work email signal at @stanford.edu for Andrew Maas at micro1.

What is Andrew Maas's phone number?

AeroLeads has found 2 phone signal(s) with area code 443, 650 for Andrew Maas at micro1.

Where is Andrew Maas based?

Andrew Maas is based in Mountain View, California, United States while working with micro1.

What companies has Andrew Maas worked for?

Andrew Maas has worked for Micro1, Pointable, Uplimit (Formerly Corise), Sanas, and Stanford University.

How can I contact Andrew Maas?

You can use AeroLeads to view verified contact signals for Andrew Maas at micro1, including work email, phone, and LinkedIn data when available.

What schools did Andrew Maas attend?

Andrew Maas holds Doctor Of Philosophy (Ph.D.), Computer Science from Stanford University.

What skills is Andrew Maas known for?

Andrew Maas is listed with skills including Machine Learning, Artificial Intelligence, Computer Science, Python, Neural Networks, Algorithms, Matlab, and C++.

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