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Assessing your cultural and operational fit
Software Engineer at Google
Software Engineer at Google, (Mountain View, CA), from July 2018. ================================================ Till May 2018: - Total 3 years academic experience in Image Process, Biomedical, CNN Algorithms (Machine Learning), with 4 research projects. - Another 1+ years working experience of Embedded-System, and also built an Android APP. - Programming Languages: C, C++, MATLAB, Java, Python, LabVIEW. - Systems and Platforms: Android Mobile APP, Linux System, ARM-Platform/Embedded-System, BLE; Image Processing, Convolutional Neural Network Algorithms. - Had been keeping focus on the related field of Artificial Intelligence in Medical Diagnosis (Medical Image Process), Jan 2013 - May 2018. Total 4 academic projects, grew up from entry-level to experienced, step by step. Very good at Maths.
Illinois Institute of Technology
Master's Student, Electrical and Computer Engineering & Medical Imaging Research Center (Machine Learning)
January 1, 2016 – January 1, 2018
Shanghai Jiao Tong University
Bachelor of Engineering (B.E.), School of Electronics Information and Electrical Engineering
January 1, 2011 – January 1, 2015
Software Engineer
July 1, 2018 – Present
Mountain View, CA.
Shanghai ZhenNeng (Tranun) Electrical Studio, (Independent Design House)
Full Stack Developer
June 1, 2017 – August 1, 2017
Shanghai, China
Illinois Institute of Technology
Research in Medical Image-based Machine Learning (Master Student)
January 1, 2017 – May 1, 2018
Greater Chicago Area
Shanghai ZhenNeng (Tranun) Electrical Studio, (Independent Design House)
Electronic Engineer (actually similar as Full Stack Developer)
July 1, 2015 – August 1, 2016
Shanghai, China
Shanghai Jiao Tong University
Improvement of Capsule Endoscope (Graduated Thesis of B.E.)
December 1, 2014 – June 1, 2015
Shanghai, China
RephiLe Bioscience, Ltd.
Electronic Engineer Intern
June 1, 2014 – September 1, 2014
Shanghai, China
Shanghai Jiao Tong University
Reconstruct the 3D-Model of PET/CT data (Undergraduate Research Program, Participant)
January 1, 2014 – June 1, 2014
Shanghai, China
Shanghai Jiao Tong University
Recognition of Incomplete Fingerprint (Undergraduate Research Program)
January 1, 2013 – June 1, 2013
Shanghai, China
Cultural Fit Analysis
The candidate's diverse project experience, ranging from embedded systems and full-stack development to medical image processing and machine learning, indicates adaptability and a broad technical interest. The academic background from reputable institutions (Illinois Institute of Technology, Shanghai Jiao Tong University) suggests a strong foundation and drive for continuous learning. The transition from software engineering to a target role of Data Analyst aligns with their research background in machine learning and image processing, indicating a potential fit for data-centric roles. The experience at Google, even without detailed descriptions, suggests exposure to a high-performance environment.
Soft Skills & Operational Fit
The candidate's resume indicates a strong problem-solving aptitude through various research and development projects. The descriptions suggest an ability to work independently and as part of a team (e.g., 'Principal in the sub-team', 'Supported another teammate'). The focus on optimizing systems for efficiency and stability (memory management, processing speed) aligns with operational excellence. However, without specific psychometric or English test scores, a direct assessment of communication clarity, work attitude, stress handling, and team collaboration is limited.