Yuanliang Meng

**** ************* *** #**

Arlington, MA 02476

617-***-****

acping@r.postjobfree.com

I am a software engineer with solid training in data analysis and machine learning. I

Objective

hope my capabilities in software development, management and research can

contribute to innovative ideas and products.

I graduated from the top ranking university in China, and studied computer science

Summary

in the US, focusing on applications of statistical machine learning. Python is my

primary programming language, and recently I have worked on implementations of

Solr engine, Celery task queue with Rabbitmq broker with Amazon Web Services in

Ubuntu Linux environment. Meanwhile I am developing a program to automatically

generate text descriptions for images.

Software Developer, Juju Inc.

Experience

Arlington, MA 06/2013 present

My assignment is roughly 80% development and 20% research. My tasks involve

various aspects of the job search engine at Juju.

Accomplishments

● Developed a new posting classification algorithm, implemented with SciKit

of Python.

● Implemented Solr engine for indexing job postings and applicant resumes.

● Implemented Celery and Rabbitmq on client server.

● Improved efficiency for data clustering.

● Updated backend programs with Multithreading and multiprocessing.

Research Engineer (Intern), Nuance Communications Inc.

Burlington, MA 01/2013 – 05/2013

While writing my master's thesis, I worked full time as an intern engineer at Nuance,

a company specialized in speech recognition and synthesis.

Accomplishments

● Wrote a Python program to translate text annotations from BNF+ format to

JSGF and GRXML.

● Learned speech recognition and understanding algorithms.

Research Assistant, Information and Telecommunication Technology

Center (ITTC), University of Kansas

Lawrence, KS 05/2011 – 12/2012

I worked on the Invertebrate Paleontology Knowledgebase project, supported by the

National Science Foundation. My tasks included data collection, algorithm design,

coding, writing up, and presenting on an international conference.

Accomplishments

● Developed a website of invertebrate paleontology, powered with PHP and

MySQL. Keyword search and a lot of other functions are implemented.

● Developed an algorithm to classify fossils, based on their photos. It is a

warp template approach based on expectation propagation. It led to my

thesis.

● Part of our research was presented and published on ACM/IEEE Joint

Conference on Digital Libraries (JCDL) 2012.

Developer (Intern), Cepstral LLC

Pittsburgh, PA 06/2012 – 07/2012

I developed an algorithm to perform voice period tracking. The Python program can

accurately mark the starting point and ending point of each period, for a variety of

speech signals.

Developer, SVOX AG

Zurich, Switzerland 08/2007 – 12/2008

I worked on the text analysis and voice unit selection of Mandarin Chinese and

Greek.

University of Massachusetts at Lowell

Education

PhD (part time) Computer Science 09/2014 present

I am a part time PhD student in the Department of Computer Science at UML. My

interest is in machine learning and data science. I am taking one course per

semester.

Harvard University

Special student (non degree) 09/2013 – 12/2013

I studied machine learning as a non degree graduate student.

University of Kansas

Master of Science, Computer Science 09/2011 07/2013

Thesis: Building an Intelligent Knowledgebase of Brachiopod Paleontology

https://kuscholarworks.ku.edu/bitstream/handle/1808/12184/Meng_ku_0099M_129

89_DATA_1.pdf

GPA: 3.95

Tsinghua University (Beijing)

Bachelor of Science, Precision Instruments 09/1997 – 06/2001

Excellence Scholarship, 2nd rize

P

Tsinghua has the No. 1 engineering program in China.

● Programming languages: Python, C/C++, PHP, MySQL, Ruby, Matlab

Skills

● Computing packages: Scipy, SciKit, NLTK, OpenCV, Caffe

● Machine learning techniques: linear regression, logistic regression, support

vector machine, decision trees, adaboost, neural networks, k means,

k nearest neighbors, Bayesian network, Markov random fields, and more

● Version control tools: Mercurial, SVN

● Research experience: statistical machine learning, computer vision,

computational linguistics, cognitive science

● Other techniques: mechanics, acoustic phonetics, optics, digital signal

processing

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