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Senior Research Engineer @ Google Deepmind
A results-driven Senior Research Engineer at Google DeepMind with deep expertise in large language models (LLMs), natural language processing, and multimodal systems. I specialize in bridging cutting-edge research with practical engineering, transforming nascent AI concepts into robust and scalable platforms with measurable impact. My collaborative leadership style and focus on mentorship have allowed me to thrive in dynamic, cross-functional teams, consistently driving innovation and delivering results on a global scale.
The Graduate University for Advanced Studies
Doctor of Philosophy (PhD) [unfinished], School of Multidisciplinary Sciences, Department of Informatics
October 1, 2016 – Present
Universidad Nacional de Córdoba
Graduate Degree, Licentiate in Computer Science
January 1, 2010 – January 1, 2013
Universidad Nacional de Córdoba
Undergraduate Degree, Computer Science Analyst
January 1, 2006 – January 1, 2009
Google DeepMind
Senior Research Engineer
August 1, 2025 – Present
Tokyo, Japan
東京大学
Part-Time Lecturer
July 1, 2019 – March 1, 2020
Senior Software Engineer
December 1, 2017 – August 1, 2025
Tokyo, Japan
株式会社リブセンス （Livesense Inc.）
NLP/ML Software Engineer
March 1, 2015 – December 1, 2017
東京品川区
Intrepid Control Systems
Software Development and Technical Support Engineer
October 1, 2013 – March 1, 2015
神奈川県横浜市
IBM
Software Engineer
May 1, 2012 – July 1, 2013
Silvergate - Research and Development
CRASH Japan
Project Coordinator
September 1, 2011 – March 1, 2012
日本岩手県遠野市
Indra
Software Developer
October 1, 2010 – December 1, 2010
Córdoba, Argentina
Universidad Nacional de Cordoba
Teacher Assistant
March 1, 2009 – March 1, 2013
Córdoba, Argentina
Latinhire.com
Online Math Tutor and Teacher
December 1, 2005 – July 1, 2011
Remotely from Córdoba, Argentina
Machine Learning - Stanford University
Coursera Course Certificates
June 24, 2026 – Present
R Programming - Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data - Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox - Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
Exploratory Data Analysis - Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research - Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different companies (Google, Livesense, IBM) and countries (Japan, Argentina, US) suggests adaptability and a global mindset. Their involvement in teaching and study groups indicates a proactive approach to knowledge sharing and continuous learning. The humanitarian work also points to a strong sense of social responsibility. However, the lack of specific project details outside of work responsibilities makes it difficult to fully assess their alignment with a highly collaborative, innovative, and fast-paced environment beyond their Google experience.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their work on complex NLU and ML systems. Their experience as a lecturer and project coordinator suggests good communication and organizational abilities. The humanitarian aid experience indicates a collaborative and resilient attitude. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is limited.