Image of Marcel Puyat

Marcel Puyat's email & phone number

Software Engineer (Google AI)

Marcel Puyat's Email Addresses & Phone Numbers

Marcel Puyat's Work Experience

Google

Software Engineer (Google AI)

Mountain View

Salesforce

Software Engineer

July 2015 to April 2016

San Francisco Bay Area

HealthTap

Software Engineer Internship

January 2015 to February 2015

Palo Alto, CA

Marcel Puyat's Education

Stanford University

BS, Computer Science

2011 to 2015

Marcel Puyat's Professional Skills Radar Chart

Based on our findings, Marcel Puyat is ...

Individualistic
Active
Deep

What's on Marcel Puyat's mind?

Based on our findings, Marcel Puyat is ...

52% Left Brained
48% Right Brained

Marcel Puyat's Estimated Salary Range

About Marcel Puyat's Current Company

Google

2017-present:Perception at Google Research: Working on Image Understanding team, applying state-of-the-art machine learning algorithms to improve computer vision in many product use-cases e.g. products, food, Image Search, Search-by-Image, etc.

Frequently Asked Questions about Marcel Puyat

What company does Marcel Puyat work for?

Marcel Puyat works for Google


What is Marcel Puyat's role at Google?

Marcel Puyat is Software Engineer (Google AI)


What is Marcel Puyat's personal email address?

Marcel Puyat's personal email address is ma****[email protected]


What is Marcel Puyat's business email address?

Marcel Puyat's business email address is [email protected]***.***


What is Marcel Puyat's Phone Number?

Marcel Puyat's phone (**) *** *** 372


What industry does Marcel Puyat work in?

Marcel Puyat works in the Computer Software industry.


About Marcel Puyat

💼 Past Experience

Marcel Puyat has a background in software engineering from Google. He worked on image understanding for Google Research from 2017-2018 where he applied state-of-the-art machine learning algorithms to improve computer vision. Marcel also worked at Google from May 2016-December 2017 in their Mountain View, California headquarters. Marcel was also a software engineer at Salesforce from July 2015-April 2016 and implemented frontend and backend features on the ingress/egress platform of Salesforce IoT Cloud. Marcel also codes the UI and backends of Salesforce's product that makes HTTP requests out to external services. Marcel also presented his PoC of their platform running on Kubernetes (http://kubernetes.io/) managed containers at a product owner's conference in 2018 and successfully convinced them to shift Salesforce's platform to run on Kubernetes. Finally, Marcel is a team member at Mokanet LLC (employed by Stanford) from February 2014-June 2014 where he worked on developing back-end of Stanford's first requirement-tracker system.


🎓 Education

Marcel Puyat began his undergraduate studies at Stanford University in the fall of 2011. He received his BS in Computer Science in 2015. Marcel Puyat's undergraduate education focused primarily on computer science theory and optimization. However, he also enjoyed exploring different aspects of software development, delivery, and systems design. Marcel Puyat's goals were to gain a deep understanding of computer science and to be able to use that knowledge to improve the quality of his own work.After a few years of undergraduate study, Marcel Puyat move on to graduate school. He grant his BSc in 2015 and then spent his graduate school years at the Georgia Tech University. Marcel Puyat earned his MSc in Computer Science in 2017. From 2017-2018, Marcel Puyat spent his doctoral studies at the University of Southern California At San Diego (USC Clairemont Graduate School of Information Sciences and Technology).Since then, Marcel Puyat is a research associate at the University of Southern California At San Diego He has been working on a variety of new projects within the field of artificial intelligence and machine learning. Marcel Puyat is also a regular speaker at various conferences and symposia across the US and Europe.Marcel Puyat's greatest achievement to date is his work on the detection of Zika virus in blood samples. This work has not only saved lives, but has also allowed for the development of comprehensive Zika antivirus software. Marcel Puyat has also shown great promise in the field of deep learning. He has used deep learning algorithms to develop a model that can accurately identify human brains compared to images of the brains of chimpanzees. This work has already yielded valuable results, and future advancements in this field are likely to be very exciting.


💡 Technical & Interpersonal Skills

Marcel Puyat's professional experience enables him to work on a variety of high- stakes projects. At Google, Marcel worked on Image Understanding, applying state-of-the-art machine learning algorithms to improve computer vision in many product uses-cases. He also worked on Spanner, the world's first horizontally scalable & strongly consistent database. In Salesforce, Marcel implemented frontend & backend features on ingress/egress platform of Salesforce IoT Cloud. In Mokanet LLC, Marcel developed back-end of Stanford's first requirement-tracker system. Marcel Puyat has a strong taste in both Javascript and Git. He has experience working on a range of high-stakes projects, including working on developing back-end of Stanford's first requirement-tracker system and creating monetizing game features. Marcel is also an experienced programmer. He has worked on Java, MySQL, and Git.


Marcel Puyat’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

Marcel Puyat's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

0 year(s), 6 month(s)

Marcel Puyat's Willingness to Change Jobs

Unlikely

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