Software Engineer Mechanical Engineering

Liang-Ting Jiang

*** *** *** *, ********, WA ****3 734-***-**** *******@**.***

Looking for full-time software engineer position starting June 2014.

Objective

• Industry experience in C++, Python.

Summary

• Interest: machine learning, data mining, back-end, infrastructure, and search.

Member of Technical Staff Intern, VMware, Palo Alto, CA May.2013 – Present

Experience

• Expert systems for virtual machine kernel coredump diagnosis in Python with MongoDB.

• Applied topic modeling using latent dirichlet allocation (LDA) and unsupervised clustering for

finding trends and commonality across core dumps.

Teaching Assistant, Computer Science, U. of Washington Dec.2012 – Mar.2013

• CSE 417 – Algorithms and Computational Complexity

Software Engineer Intern, Philips, Bothell, WA Jan.2012 – Jun.2012

• Software development for medical ultrasound imaging systems in C++, e.g., image memory

allocation/transmission and geometric visualization.

Research Assistant, Computer Science, U. of Washington Jan.2011 – Present

• Robotics research focusing on machine learning, AI, and perceptions.

• Utilized PR2 robot platform with Robot Operation System (ROS).

• Proposed and implemented a sensor-based probabilistic framework for robust robotic grasping.

Research Intern, Intel Labs, Seattle, WA Oct.2010 – Dec.2010

• Developed control algorithm for robotic arms.

Machine Learning for Big Data (3.9/4.0)

Selected

Coursework and • Personalized ads click through rate prediction using stochastic gradient descent and hash kernel.

• Hadoop MapReduce implementation of KMeans and GMM EM for cluster-based document re-

Projects

trieval on a subset of Wikipedia dataset with tf-idf model (10,574 words, 15,903 documents).

• Supervised latent factor model with hash kernel for personalized Netflix recommender systems.

Artificial Intelligence (3.9/4.0)

• A*, minimax and expectimax search algorithms and reinforcement (Q-)learning for Pacman.

• Online particle filter inference for location tracking.

Algorithms (3.9/4.0), Computer Vision (3.9/4.0)

• University of Washington, Ph.D Candidate, Mechanical Engineering 2010-2014

Education

Thesis: Towards Robust Robotic Grasping, GPA 3.7

• National Taiwan University, M.S., Mechanical Engineering, GPA 4.0 2005-2007

• National Chiao-Tung University, B.S., Mechanical Engineering, GPA 3.5 2001-2005

1. A Unified Framework for Grasping and Shape Acquisition Via Pretouch Sensing, Liang-Ting Jiang,

Selected

Joshua R. Smith, IEEE International Conference on Robotics and Automation (ICRA), 2013.

Publications

2. Seashell Effect Pretouch Sensing for Robotic Grasping, Liang-Ting Jiang, Joshua R. Smith, IEEE

International Conference on Robotics and Automation (ICRA), 2012.

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