Matthew Zeng
Software Engineer
I am a master candidate @ Carnegie Mellon University
I am studying in Language Technologies Institute, focusing on Machine Learning and Information Retrieval. I enjoy doing research as well as building efficient software. I like games, music, design, and everything!
Education
Aug. 2014 - Present
Carnegie Mellon University
from August 2014 to present
Master in Intelligent Information Systems
- Selected courses: Machine Learning, Search Engines, Cloud Computing, Algorithms for NLP
- Reseach Project: Teachable Relation and Event Extractor, supervised by Prof. Anatole Gershman
Sep. 2010 - June 2014
Nanjing University
from September 2010 to June 2014
Bachelor in Computer Science, 3.80/4
- Selected Courses: Algorithm Design & Analysis, Introduction to Data Mining, Software Engineering
- Udergraduate thesis: Click Auction Model based on Proportional-Share Allocation, supervised by Prof. Junyuan Xie
- Research Project: Intelligent Search Engine based on Social Network Analysis, supervised by Prof. Chongjun Wang & Prof. Junyuan Xie
Skills
Data Engineering
Machine Learning
Collaborative Filtering
Clustering
Classification
Information Retrieval
Indri
BM25
Lucene
Learning-to-Rank
Query Expansion
Natural Language Processing
Dependency Parsing
Hidden Markov Models
Software Engineering
Fundamentals
Algorithms & Data Structures
Software Engineering
Unix/Linux
TCP/IP Networking
Programming Languages
Python
C++/C#
Java
MATLAB
R
SQL
LaTex
HTML5
CSS3
javascript
Git
Traits
Teamplayer
Quick-learner
Creative-thinking
Employment
May 2015 - Jul. 2015
VMware
from May 2015 to Jul. 2015
Software Engineer Intern
- Designed and developed front-end and back-end framework for vRealize System Test Portal using Django
- Implemented a light-weight data collecting framework for diversified resources using Celery and Rabbitmq
- Voted as top 10 intern project; framework successfully extended to another vRealize product
July 2013 - Oct. 2013
Microsoft
from July 2013 to Oct. 2013
SDET Intern
- Reviewed test logs; fixed Billing failures in Microsoft Commerce Transaction Platform(CTP)
Research
Aug. 2014 - Present
Teachable Relations and Event Extractor
from August 2014 to present
supervised by Prof. Anatole Gershman
- Built the ontology to boost the learning process of the TREE active learning system.
- Publication:Interactive Learning with TREE: Teachable Relation and Event Extraction System
Oct. 2013 - June 2014
Click Auction Model based on Proportional-Share Allocation
from October 2013 to June 2014
supervised by Prof. Junyuan Xie
- Designed a new proportional-allocation auction model for bidding and allocating ad slots in Sponsored Search.
May 2012 - June 2013
Intelligent Search Engine based on Social Network Analysis
from May 2012 to June 2013
supervised by Prof. Junyuan Xie and Prof. Chongjun Wang
- Developedafully-functioningsearchengineplatformthatcrawlsandretrievespostsinpersonalsocialnetwork.
- Reranked the results according to content relevance, user intimacy and interest similarity.
