# Zhewei Mai

> Tech Lead at Uber

Location: San Jose, California, United States
Profile: https://flows.cv/zhewei

*	Proficient in Object-Oriented programming on Windows/Linux, with good programming style along with comprehensive software engineering technique.
*	Familiar with data structure and algorithm.
*      Strong debug skill in Java.
*	Professional experience on Natural Language Processing, Machine Learning, and Information Retrieval.

Specialties: *	Object-Oriented Programming
*	Software Engineering Technique (Design Patterns, UML)
*	Practical problem solving and ability to quickly adapt to new technologies
*	Strong team work and collaboration, good communication skills

## Work Experience
### Staff Software Engineer @ Uber
Jan 2017 – Present | San Francisco Bay Area
Work at Ad Tech team

### Senior Software Engineer @ Yahoo! Inc.
Jan 2016 – Jan 2017 | San Francisco Bay Area
* Worked on internal data pipeline framework powered by Luigi to easily ingest data for Polyvore.com

### Software Engineer @ Polyvore
Jan 2014 – Jan 2016 | San Francisco Bay Area
Worked on CPC monetization framework for Polyvore.com

### SDE @ Amazon
Jan 2013 – Jan 2014
Work in Supply Chain Optimization Team

### Teaching Assistant @ Northeastern University
Jan 2012 – Jan 2012

### SDE Intern @ Amazon
Jan 2012 – Jan 2012
* Work in seller merchandising team of Marketplace

### Software Developer Intern @ IBM
Jan 2011 – Jan 2011 | Beijing, China
- Act as a developer in IBM System Director Navigator for i (a web console interface for IBM i, the operation system runs in IBM server).
- Develop DNS component to compile with IPv6 and support IPv6 and IPv4 address verification.
- Fix issues in DNS and Journal components and take the regression tests on MC (Management Central).

### Research Assistant @ Wuhan University
Jan 2009 – Jan 2010 | Wuhan, China
-  Utilized agent-based simulations based on SWARM platform to simulate an agricultural society model using Java.
-  Studied factors of natural disaster, alien invasion and the aggravation of government taxing, which may affect the development of the society.

### Research Assistant @ Wuhan University
Jan 2008 – Jan 2010 | Wuhan, China
-  Employed and implemented clustering with an EM algorithm for document re-ranking. MAP is 0.40 outperforming other participants with an average of 0.36. Result is published on NTCIR-8.
-  Utilized pseudo-relevant feedback to construct pseudo-label documents for document re-ranking, and get the MAP improvement of information retrieval system from 0.35 to 0.40.


## Education
### Master in Computer Science
Northeastern University

### B.S in Software Engineering
Wuhan University


## Contact & Social
- LinkedIn: https://linkedin.com/in/zhewei-mai-93a3b926

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Source: https://flows.cv/zhewei
JSON Resume: https://flows.cv/zhewei/resume.json
Last updated: 2026-04-12