AI Research Engineer @ Google | ex MIT, CMU, Two Sigma
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Applied mathematician, computer scientist.
Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Computational Mathematics and Engineering
December 1, 2018 – December 1, 2024
Carnegie Mellon University
Master of Science (M.Sc.), Computer Science
September 1, 2017 – December 1, 2018
Carnegie Mellon University
Master of Science (M.Sc.), Machine Learning
N/A – Present
National Technical University of Athens
Master of Engineering (M.Eng.), Electrical & Computer Engineering
N/A – Present
AI Research Engineer
January 1, 2026 – Present
Mountain View, California, United States · On-site
Scale AI
Human Frontier Collective Intern
May 1, 2025 – September 1, 2025
San Francisco, California, United States · Remote
The Voleon Group
ML Quantitative Researcher Intern
February 1, 2025 – April 1, 2025
Berkeley, California, United States · Hybrid
Stanford University
Visiting Researcher
January 1, 2024 – May 1, 2024
Stanford, California, United States · On-site
Two Sigma
Deep Learning Quantitative Researcher
June 1, 2023 – August 1, 2023
Manhattan, New York, United States · Hybrid
Student Researcher, PhD
September 1, 2020 – November 1, 2020
Remote
PhD Software Engineering Intern
June 1, 2020 – August 1, 2020
Remote
Massachusetts Institute of Technology
Graduate Research And Teaching Assistant
December 1, 2018 – December 1, 2024
Cambridge, Massachusetts, United States · On-site
MathWorks
Software Engineering Intern
May 1, 2018 – August 1, 2018
Natick, Massachusetts · On-site
Petuum, Inc.
Machine Learning Engineer Intern
September 1, 2017 – December 1, 2017
Pittsburgh, Pennsylvania, United States
Intel Labs
Graduate Technical Intern
May 1, 2016 – August 1, 2016
Santa Clara, California, USA
Carnegie Mellon University
Graduate Research and Teaching Assistant
September 1, 2015 – August 1, 2017
Pittsburgh, Pennsylvania, United States
National Technical University of Athens
Teaching Assistant
September 1, 2009 – May 1, 2010
Athens, Greece
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced academic research and quantitative finance, with roles at prestigious institutions and companies. While this demonstrates exceptional intellectual rigor and a drive for complex problem-solving, the target role of 'Data Analyst' might be a step down in terms of research intensity compared to their previous roles (e.g., AI Research Engineer, ML Quantitative Researcher). The candidate's experience is highly specialized in AI/ML and quantitative finance, which may indicate a strong fit for data analysis within these specific domains, but less so for broader data analysis contexts. The diversity of projects is limited to research and quantitative applications, which might suggest a preference for highly theoretical or algorithmic challenges over more general business intelligence or operational data analysis tasks. The lack of explicit project details makes it difficult to fully assess alignment with a typical Data Analyst role's day-to-day responsibilities.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving research, teaching, and problem-solving, suggesting strong analytical thinking, intellectual curiosity, and a capacity for independent work. The descriptions of creating advanced mathematical problems and designing challenging tasks for LLMs indicate a high level of critical thinking and attention to detail. However, direct evidence of collaboration, communication, or leadership in team-based operational settings is limited to brief role descriptions. The lack of psychometric test results prevents a comprehensive assessment of work attitude, stress handling, and team collaboration.