Montserrat Arenas - Senior Research Engineer at Google DeepMind

Montserrat Arenas

Senior Research Engineer at Google DeepMind

Mountain View, California, United States

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Summary

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Rockstar

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Top School

Montserrat Arenas is a Senior Research Engineer at Google DeepMind with seven years of experience bridging research and production in robotics and applied machine learning. Trained in statistics (CMU) and computer science (Tecnológico de Monterrey), she has a strong foundation in speech and systems work from internships at Google and Microsoft and early research at CMU. She combines rigorous research instincts with hands-on engineering—evidenced by contributions to OSINT tooling on GitHub where she integrated Instagram, LinkedIn and Twint APIs to enrich credential-leak detection workflows. Based in Mountain View, she brings a Red Team/pentesting mindset to research problems, often focusing on practical data-extraction and security-aware system design. Colleagues value her ability to translate complex probabilistic models into robust, production-ready robotics solutions.

7 years of coding experience

1 year of employment as a software developer

Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tecnológico de Monterrey

Master's degree, Statistics, Master's degree, Statistics at Carnegie Mellon University

Github Skills (7)

apim10

instagram-api10

osi10

api10

python10

linkedin-api9

argparse7

Programming languages (3)

PowerShellGoPython

Github contributions (5)

MrTuxx/SocialPwned

Apr 2020 - Dec 2021

SocialPwned is an OSINT tool that allows to get the emails, from a target, published in social networks such as Instagram, Linkedin and Twitter to find possible credentials leaks in PwnDB or Dehashed and obtain Google account information via GHunt.

Role in this project:

Backend Developer

Contributions:3 releases, 95 commits, 2 PRs in 1 year 8 months

Contributions summary:Montserrat primarily contributed to the `socialpwned` project by adding and integrating the Instagram API. Their work involved modifying the core Python script (`socialpwned.py`) to include argument parsing for Instagram-related functionalities. The changes also included the creation and integration of an `InstagramAPI.py` file within the `lib/InstagramAPI` directory. This involved setting up login capabilities and fetching data, likely for OSINT purposes, integrating PwnDB, and also implementing the linkedin and twint APIs.

google-accountinstagramlinkedintwitterosint

MrTuxx/HTB_WriteUp

Jul 2019 - Oct 2021

Contributions:41 commits, 29 pushes in 2 years 3 months

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