# Marcel Puyat

> Software Engineer (Google AI)

Location: Stanford, California, United States
Profile: https://flows.cv/marcelpuyat

## Work Experience
### Software Engineer (Google AI) @ Google
Jan 2017 – Present | Mountain View
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.

### Software Engineer @ Google
Jan 2016 – Jan 2017 | Mountain View, CA
2016-2017:
Software Engineer working on Spanner, the world's first horizontally scalable & strongly consistent database.

### Software Engineer @ Salesforce
Jan 2015 – Jan 2016
Implementing frontend & backend features on ingress/egress platform of Salesforce IoT Cloud
- Designed and implemented a heartbeat mechanism that enables self-healing Linux containers to move data in/out of our platform
- Coded the UI and backend functionality of our product's service that makes HTTP requests out to external services
- Implemented a PoC of our platform running on Kubernetes (http://kubernetes.io/) managed containers, demoed this to product owners and successfully convinced them to shift our platform to run on Kubernetes

Languages/Technologies used: Java, Javascript, React, Heroku, Kubernetes, Microservices, Git

### Software Engineer Internship @ HealthTap
Jan 2015 – Jan 2015 | Palo Alto, CA
- Backend web development (Ruby on Rails)

- Designed and coded Wordpress plugins to increase site traffic

Languages/Technologies used: Javascript, PHP, Ruby on Rails, Git

### Software Engineer Internship @ Zynga
Jan 2014 – Jan 2014
- Developed monetizing game features and fixed bugs on the CastleVille Legends team

- Conceptualized and developed a game idea in a span of 4 weeks and presented this to executives

Languages/Technologies used: Unity, C#, Git

### Software Engineer (part-time) @ Mokanet LLC (employed by Stanford)
Jan 2014 – Jan 2014 | Stanford, CA
Worked on developing back-end of Stanford's first requirement-tracker system:

    - Reimplemented an algorithm to compute an optimal path for students to fulfill their graduation requirements given their current list of classes taken

    - Implemented a database cache to hold precomputed optimal paths for students (converting between POJOs and XML). This cut down average load times from > 10s to under a second.

Languages/Technologies used: Java, MySQL, Git

### Team Member @ Stanford Golf Varsity
Jan 2011 – Jan 2012 | Stanford University
Achieved a team national ranking of #1
Required a time commitment of over 20 hours a week
Competed in several tournaments against top World-ranked amateur golfers


## Education
### BS in Computer Science
Stanford University


## Contact & Social
- LinkedIn: https://linkedin.com/in/marcel-puyat-4444b682
- Website: http://stackoverflow.com/users/2924047/marcel-puyat

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Source: https://flows.cv/marcelpuyat
JSON Resume: https://flows.cv/marcelpuyat/resume.json
Last updated: 2026-04-01