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Principal ML Engineer @ Atlassian (Rovo Chat) | Agent Systems, LLM Infrastructure, Evaluation & Search | Ex-Apple, Pinterest
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Established software engineer, experienced in pre-training large language models and coaching junior researchers.
University of Rochester
Doctor of Philosophy (Ph.D.), Political Science and Computer Science
N/A – Present
Toulouse School of Economics
Master’s Degree, Econometrics and French
N/A – Present
Technion - Israel Institute of Technology
Diploma, Mathematics and History
N/A – Present
Atlassian
Principal Machine Learning Systems Engineer
October 1, 2025 – Present
Stealth
Founder
September 1, 2024 – October 1, 2025
Palo Alto, California, United States
Moveworks
Senior Software Engineer
July 1, 2023 – February 1, 2024
Mountain View, California, United States
Senior Software Engineer
June 1, 2022 – May 1, 2023
Palo Alto, California, United States
Apple
Machine Learning Research Scientist
November 1, 2018 – June 1, 2022
Cupertino, California, United States
Laserlike Inc
Software Engineer
May 1, 2017 – November 1, 2018
Mountain View, California, United States
International Labour Organization
UN Intern
April 1, 2014 – August 1, 2014
Geneva, Switzerland
Cultural Fit Analysis
The candidate's experience spans large tech companies (Apple, Atlassian, Pinterest) and a startup (Stealth), indicating adaptability to different organizational cultures. The academic background in diverse fields (Political Science, Econometrics, Computer Science) suggests intellectual curiosity and a broad perspective, which can be beneficial for cultural fit. However, the lack of detailed project descriptions makes it challenging to assess alignment with specific team values or collaborative styles.
Soft Skills & Operational Fit
The candidate's career trajectory, including founding a company and holding senior roles, suggests strong initiative, problem-solving abilities, and leadership potential. The diverse educational background implies strong analytical and critical thinking skills. However, without specific project details or behavioral assessment data, it is difficult to fully assess operational fit and specific soft skills like teamwork or stress handling.