Researcher & Engineer - AI at Google DeepMind
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Assessing your cultural and operational fit
Boston University
Master of Science (MS), Signal Processing (Electrical Engineering)
January 1, 2011 – January 1, 2011
Boston University
Bachelor of Science (BS), Electrical Engineering
January 1, 2007 – January 1, 2011
Google DeepMind
Researcher & Engineer, Staff
May 1, 2019 – Present
High Frequency Cryptocurrency Arbitrage
Owner
January 1, 2018 – April 1, 2019
TripAdvisor
Senior Machine Learning Software Engineer
October 1, 2017 – January 1, 2018
Mitra Capital LLC
Data Scientist / Machine Learning Engineer
June 1, 2016 – September 1, 2017
Roundtown, Inc.
Data Scientist / Software Engineer
August 1, 2014 – May 1, 2016
M.I.T. Lincoln Laboratory
Data Scientist - Associate Staff
June 1, 2011 – August 1, 2014
The MathWorks
Internship
June 1, 2010 – August 1, 2010
Cultural Fit Analysis
The candidate's diverse experience across large tech companies (Google DeepMind, TripAdvisor), startups (Roundtown), finance (Mitra Capital, High Frequency Arbitrage), and defense (M.I.T. Lincoln Laboratory) demonstrates adaptability and a broad range of interests. Their involvement in cutting-edge research and practical application of ML/NLP aligns well with an innovative, research-driven culture. The leadership roles and mentorship experience suggest a collaborative and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate's experience at Google DeepMind, leading projects and mentoring, suggests strong leadership, collaboration, and problem-solving skills. The independent high-frequency trading venture demonstrates initiative, risk management, and operational autonomy. The descriptions indicate a results-oriented individual capable of driving projects from research to deployment.