Manager, Software Engineering, Machine Learning at LinkedIn
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 Southern California
Master’s Degree, Computer Science
January 1, 2010 – January 1, 2011
University of Southern California
Doctor of Philosophy (Ph.D.), Industrial and Systems Engineering
January 1, 2009 – January 1, 2016
University of Southern California
Master’s Degree, Industrial and Systems Engineering
January 1, 2007 – January 1, 2008
Zhejiang University
Bachelor’s Degree, Industrial Engineering
January 1, 2003 – January 1, 2007
Manager, Software Engineering, Machine Learning
February 1, 2025 – Present
Staff Software Engineer - Machine Learning
February 1, 2018 – February 1, 2025
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning and Software Engineering, which is a strong technical fit. However, the target role is 'Data Analyst'. While there's an overlap in analytical skills, the direct experience in traditional data analysis (e.g., advanced SQL, BI tools, A/B testing for business insights, reporting) is not explicitly detailed. This might indicate a potential mismatch with the day-to-day responsibilities of a pure Data Analyst role, which often requires a different skill set than ML engineering. The project diversity is not provided, making it difficult to fully assess breadth.
Soft Skills & Operational Fit
The candidate's experience as a Manager suggests leadership and team collaboration skills. The academic background implies strong analytical and problem-solving abilities. However, specific details on operational fit and soft skills are not explicitly provided in the given data.