# Mauricio Guadiana

> Computer Science engineer

Location: New York, New York, United States
Profile: https://flows.cv/mauricioguadiana

## Work Experience
### Software Engineer @ Google
Jan 2024 – Present | New York, New York, United States
Ads Optimization

### Software Engineer @ YouTube
Jan 2021 – Jan 2024 | San Bruno, California, United States
YouTube Shorts Creation Media Backend

### Software Engineering Intern @ YouTube
Jan 2020 – Jan 2020 | Mexico City, Mexico
YouTube Voice Search

Improved voice tips (query suggestions) for voice searches on YouTube.
* Migrated voice tips logic to an alternate server. Configured tips generation service to provide tips over RPCs.
* Designed and defined metrics for measuring voice tips click-through rate and their effectiveness.
* Built logging infrastructure for voice tips, and computed the metrics from logs.
* Gradually rolled out changes, ensuring indicators were maintained or improved during the stages of the rollout.
Technologies and skills: C++, Go, design and documentation, experiments, unit testing, e2e testing.

### Software Engineering Intern @ Google
Jan 2019 – Jan 2019 | New York, New York
Google Ad Manager Deals Serving Team.

Built a serviceability tool for Programmatic Guaranteed deals in Google Ad Manager:
Developed multiple pipelines that interact with the ad serving stack to test agreements between advertisers and publishers, ensuring they can transact.
* Analyzed and manipulated billions of production logs from multiple sources using a MapReduce framework in C++.
* Implemented monitoring and alerting: quantified relevant metrics, and built a dashboard in Python to expose them.
* Made system maintainable by implementing unit and E2E tests. 
* Pipelines run daily in production, allowing early problem detection to save lost revenue and customer relationships.
* System is fully integrated with Google’s production tools and test infrastructure.

### Engineering Practicum Intern @ Google
Jan 2018 – Jan 2018 | Mountain View, California
Search Ads Quality Engineering Productivity team.
       
Created a system to reduce log data collection time by 80%, replacing the need to write SQL queries:
* Processed unorganized log data via MapReduce in C++ into SSTables sorted by relevant parameters.
* Stored SSTable output in a C++ backend lookup service, enabling data retrieval through RPCs. 
* Developed a frontend system using HTML, CSS, Javascript, and JSLayout that takes user specifications and then queries the backend for results.

Enabled gathering input and loading proto-buffs from recordIO files from an alternate source: a virtual storage system.

Utilized internal Infrastore API to generate list of all available service backends and display on frontend in an intuitive manner.


## Education
### Bachelor's degree in Computer Science and Software Engineering
Tecnológico de Monterrey


## Contact & Social
- LinkedIn: https://linkedin.com/in/mauricio-gm

---
Source: https://flows.cv/mauricioguadiana
JSON Resume: https://flows.cv/mauricioguadiana/resume.json
Last updated: 2026-04-05