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AI Platform Engineer at Pano AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Bachelor of Science (B.S.), Physics
January 1, 2012 – January 1, 2016
Pano AI
Senior AI Platform Engineer
August 1, 2023 – Present
Course Hero
Staff Machine Learning Engineer
March 1, 2022 – August 1, 2023
Course Hero
Senior Machine Learning Engineer
March 1, 2020 – March 1, 2022
Course Hero
Machine Learning Engineer
March 1, 2018 – March 1, 2020
doc.ai
Machine Learning Engineer
January 1, 2017 – January 1, 2018
Palo Alto, California
Stanford University
Teaching Assistant - Department of Physics
September 1, 2016 – December 1, 2016
Stanford University
Stanford AI Lab Outreach Summer Program Teaching Assistant
June 1, 2016 – June 1, 2017
IntroNet Corp
Data Scientist
July 1, 2015 – December 1, 2016
Greater Philadelphia Area
Cultural Fit Analysis
The candidate has experience across several companies (Pano AI, Course Hero, doc.ai, IntroNet Corp) and has held teaching assistant roles at Stanford, indicating adaptability and a breadth of environments. The progression from Machine Learning Engineer to Staff and Senior AI Platform Engineer suggests a commitment to the AI domain. However, without project details or specific skill sets listed on the resume, a deeper assessment of cultural fit based on diverse experiences is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.