HPCC Systems Intern Program - Class of 2017

Find out more about the HPCC Systems Summer Intern Program.

The following student projects were completed as part of the HPCC Systems Intern Program 2017:

Lili Xu, PhD student of Computer Science Clemson University, USA
Last year, Lili worked on an implementation of the YinYang K-Means machine learning algorithm. This year she extended this work by improving and extending the implementation of this algorithm.

Vivek Nair, PhD student of Computer Science, North Carolina State University, USA
Last year, Vivek worked on providing a regression suite for the HPCC Systems Machine Learning library. This year, he implemented a solution to enable Spark to use HPCC Systems as a data store and allow ECL programmers to access Spark algorithms.

Sarthak Jain, Bachelor of Technology in Computer Engineering, Delhi Technological University, India
In the fall, Sarthak will begin studying for a PhD in Computer Science at Northeastern University in Massachusetts, USA. Having implemented 2 different machine learning algorithms (Logistic/Linear Regression and LSA) for us in previous internships, this year, Sarthak implemented a documentation generator for ECL code, which will provide our new machine learning bundles with an improved method for generating up to date and complete supporting documentation. 

George Mathew, PhD student of Computer Science, NSCU in the USA
George implemented a gradient trees algorithm to be included in the HPCC Systems Machine Learning Library.

David Skaff, 11th grade high school student, NSU University School in Florida, USA
David extended an number of HPCC Systems standard library functions to include unicode support.

Four of our interns took part in our 2017 Technical Poster Presentation Competition. Find out about the winners and read the abstracts.