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Gemini@GDM
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am passionate about exploring computer vision and large language model techniques for products.
Carnegie Mellon University
Master of Science - MS, Electrical and Computer Engineering
N/A – Present
Beijing University of Posts and Telecommunications
Bachelor's degree
N/A – Present
Stanford University
Graduate Certificate, Artificial Intelligence
N/A – Present
Google DeepMind
Staff Software Engineer
August 1, 2024 – Present
Motional
Principal Engineer | Team Lead Manager
May 1, 2023 – June 1, 2024
Software Engineer - Document AI
February 1, 2020 – April 1, 2023
Sunnyvale, California, United States
Software Engineer - Vision AI
October 1, 2018 – October 1, 2020
Sunnyvale, California, United States
Adobe
Research Engineer - Adobe Research
July 1, 2016 – October 1, 2018
San Jose, California, United States · On-site
Machine Learning Department | Carnegie Mellon University
Research Assistant
June 1, 2015 – October 1, 2015
Lenovo Group Ltd
Software Engineer Internship
September 1, 2013 – November 1, 2013
CORE ELASTICSEARCH: DEVELOPER
Elastic
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in research and development within large, innovative tech companies, which suggests a fit for a culture that values innovation, technical depth, and continuous learning. Their experience across various AI domains (LLMs, computer vision, self-driving) demonstrates adaptability and a broad technical interest. However, the target role is 'Big Data Engineer', and while there's significant AI/ML experience, direct explicit experience in core big data technologies (e.g., distributed processing frameworks like Spark, Hadoop, Kafka, data warehousing, ETL pipelines) is not prominently detailed in the resume descriptions. This might indicate a potential gap in direct cultural alignment with a pure big data engineering focus, despite strong technical capabilities in related fields.
Soft Skills & Operational Fit
The candidate's experience as a Team Lead Manager and Tech Lead indicates strong leadership, mentorship, and project management skills. Their work on improving model quality and developing platforms suggests a focus on operational excellence and impact. The description of improving Gemini quality and leading teams implies strong problem-solving and collaboration abilities.