SUMMARY:

• 6 years of software development in C/C++, and some in core Java. 5 years of code implementation in Matlab. 3 years of data analysis in Matlab and Weka.
• 5 years of deep and extensively contact in machine learning methods (classifier, clustering, regression).
• Deep understand Support Vector Machine, decision tree, Artificial Neural Network, Fuzzy Logic, and Error Correcting Output Code through projects; know basic knowledge in Bayesian classifier, Bayesian networks, Markov Model, Hidden Markov Model, etc.
• 3 years in data mining (data understanding, preprocessing (normalization, discretization, outlier, noise removal), feature selection and feature extraction (PCA, ICA, FT), model building, and model validation.
• Data structure, STL and algorithm, Object - oriented programming (C++, JAVA), design patterns, parallel programming, multi-threading (MPI, OpenMP).
• Math (probability, statistics, stochastic process, advanced mathematics, linear algebra).
• Image processing (basic knowledge and advanced theories) and signal processing (basic knowledge and advanced theories: Weiner filter, Kalman filter, Adaptive filter).
• The theory of databases, especially relational databases (SQL server, My SQL).
• MFC (single document framework, Dialog based framework), Win32; Java: Spring, Hibernate, Web Services, Tomcat.
• TCP/IP, UDP, routing and operating system: Linux (makefiles, gcc, gdb), Windows.

TECHNICAL SKILLS:

Languages: C/C++, java, R, SQL.

Development Tools: Microsoft Visual Studio, Eclipse, Matlab, weka, OpenCV, MPI, OpenMP, etc.

Database: SQL Server, MySQL.

Reporting Tools: Crystal Reports.

Operating System: Windows, Linux.

Others: Multi-threaded programming, Design Pattern, parallel computing.

WORK EXPERIENCE:

Confidential, CA

C++ Developer

Responsibilities:

• Build the path and configure under dynamic web project.
• Design and implement class and web configuration files under the framework of MVC integrated in Spring.
• Call MySQL database based on hibernate framework.

Environment: JAVA, Eclipse, Spring, MVC, hibernate, MySQL, Tomcat

Confidential

Responsibilities:

• Decide the functionality of the system.
• Design and code data structures to satisfy with requirements for different data types.
• Study related professional concepts in financial fields (yield curve, asset, swap, etc). Implement the tools based on the concepts.
• Consider the conciseness of the codes.
• Compare the effectiveness of different methods in a specific skill.
• Try to bring in the possible facilities to speed up the performance of the system, such as multi-threading, etc.

Environment: s: Microsoft Visual Studio, C++

Confidential

Responsibilities:

• Decide about the objects choices, attributes choices in database design, keyword set, foreign key set, etc.
• Using ADO technology to call data base.
• Design the interface, and implement functionality using MFC in Microsoft Visual Studio.
• Test and check the correctness of data output and the system.

Environment: s: Microsoft Visual Studio, C++

Confidential, VA

IT Analyst

Responsibilities:

• Be responsible for designing new reports using crystal report (HomeDepot, BBB/BAB, Mercent).
• Correct and purify the existing packing slips.
• Work with other colleges for better understanding the tasks.
• Check the items in tables.
• Comparing functionalities and contents between two databases.

Environment: s: Crystal report, SQL server

Confidential

Responsibilities:

• Implementing the Confidential code serially.
• Study related knowledge about multi threaded programming, especially the tools, OpenMP, MPI, etc.
• Implement to optimize the code serially.
• Finishing optimize the Confidential using OpenMP and MPI.
• Collect and compare the results from these different schemes.

Environment: s: Microsoft Visual Studio, C++, OpenMP, MPI

Confidential

Responsibilities:

• Preprocess the two datasets: normalization, discretization, and remove outliers.
• Feature extraction and feature selection: PCA, ICA, and features based on frequency.
• Implementing CAIM algorithm: CAIM is one of discretization algorithms, which reassign the values of each attribute into several discrete intervals by maximizing the class-attribute interdependence. The code is written using Matlab.
• Implementing CLIP4 Algorithm: CLIP4 belongs to hybrid inductive machine learning algorithm. It is called a hybrid because it combines ideas of two families of inductive machine learning algorithms, rule algorithms and decision tree algorithms. The algorithm is written using Matlab.
• Perform clustering algorithm: K-Mean, etc.

Environment: s: Matlab, Weka

Confidential

Responsibilities:

• Study related knowledge about Confidential
• Compare mechanisms between Confidential and other machine learning methods, such as Linear Multiclass Classifier which supplies an alternative way to decide indecisive data points by using winner-takes-all strategy, neural network, etc.

Environment: s: Matlab

Confidential

Software Engineer

Responsibilities:

• Test the functions of the system.
• Design user interface based on MFC framework
• Study video image recognition.
• Hough transform is used to detect boundary/lines of the scrip.
• Design the scrip recognition algorithm and coding with C/C++.

Environment: s: Microsoft Visual Studio, C++, Matlab

Confidential

Research Assistant

Responsibilities:

• Study template matching, shadow detection, face recognition, and license plate recognition as the possible paths toward correct detection of seatbelt.
• The novelty is using Circle Hough Transform to detect the steering wheel.
• Coding the whole system using C/C++.

• Code the back-propagation algorithm with C/C++.
• Adjust the parameters of the back-propagation algorithm to achieve better results.

• Study and understand the relevant knowledge about Support Vector Machines.
• Code using LIBSVM in Microsoft Visual C++.

Environment: s: Microsoft Visual Studio, C++, SQL Server