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Astrophysics PhD
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Washington
Ph.D., M.S., Astronomy and Astrophysics
January 1, 2008 – January 1, 2015
Le Cordon Bleu London
Baking and Pastry Arts/Baker/Pastry Chef
January 1, 2007 – January 1, 2008
University of California, Berkeley
Bachelor of Arts (B.A.), Physics & Astrophysics (Honors)
January 1, 2003 – January 1, 2007
Meralta Films
Research And Development Associate
September 1, 2020 – Present
Got It Inc.
Machine Learning Engineer
January 1, 2017 – March 1, 2020
San Francisco Bay Area
University of Washington
Graduate Student Researcher
September 1, 2010 – December 1, 2015
Seattle, WA
Berkeley Lab
Graduate Student Researcher
January 1, 2008 – January 1, 2010
Berkeley, CA
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with a significant portion of their career in astrophysics and machine learning research. While the Machine Learning Engineer role at Got It Inc. involved product development, the overall profile leans towards scientific inquiry and data analysis rather than traditional backend engineering. The baking and pastry arts education is an interesting personal pursuit but does not directly contribute to cultural fit for a backend engineering role. The lack of diverse project experience outside of academic/research settings and a clear transition into a pure backend engineering role suggests a potential mismatch with a typical software development culture focused on scalable systems, APIs, and infrastructure.
Soft Skills & Operational Fit
The candidate's experience as a Graduate Student Researcher and Machine Learning Engineer suggests strong analytical, problem-solving, and research skills. The description of building a product and conducting research indicates initiative and a results-oriented approach. Monitoring telescope operations implies real-time problem diagnosis and resolution. However, specific soft skills like teamwork, leadership, or project management are not explicitly detailed beyond collaborative development.