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Student work experience opportunities also exist for students who want to suggest their own project idea. Project suggestions must be relevant to HPCC Systems and of benefit to our open source community.

Find out about the HPCC Systems Summer Internship Program.

The project proposal application period for 2020 summer internships is now closed. Check back in the Fall for details about applying to join our 2021 program.

Project Description

Focus on various of storage type, datasets and HPCC cluster parameters.

Thor
Roxie

More information coming soon.

If you are interested in this project, please contact Contact Details. This project was completed by a student accepted on to the 2021 HPCC Systems Intern Program.

Project Description

This will is a continuing work from last year "Process robotics data with HPCC Systems". The main focus will be on HPCC System cluster on Kubernetes, particularly on Microsoft Azure. The project will adopt existing General Neural Network (GNN) model to local and Azure Kubernetes cluster. Some related code and environment may also need be updated for example, latest ROS, Ubuntu 20.04 and potential new TensorFlow release, etc. The student also will help to identify any necessary change or add-on in HPCC-Platform to support Machine Learning on HPCC System Cloud in both local and public cloud such as Azure, AWS and Google Cloud.

Completion of this project involves:

...

Learning HPCC System ML GNN
Learning previous Robotics GNN code
Collect or get train data (images)
Load the image data to the cloud
Train the model

By the mid term review we would expect you to have:

Coming soon

...

Load image data to the cloud
Written initial ECL code
Trained a model with HPCC Systems GNN with some initial result

Mentor

Mentor: David De Hilster <David.Dehilster@lexisnexisrisk.com>

Backup Mentor:

Godson Fortil
Contact DetailsUnix Shell, Pythoin

Fortil, Godson <Godson.Fortil@lexisnexisrisk.com>

Skills needed

General Cloud Environment knowledge

AWS EC2, Client API (shell), S3, Docker, Jenkins, Packer

Docker and Kubernetes
Git, CMake
Build ROS package
HPCC Systems Platform and ECL
Python, Unix Bash,
Machine Learning, Neural Networks, particularly Convolution Neural Networks (CNN)
Kera, TensorFlow
Ability to build and test the HPCC system (guidance will be provided).
Ability to write test code. Knowledge of ECL is not a requirement since it should be possible to re-use existing code with minimal changes for this purpose. Links are provided below to our ECL training documentation and online courses should you wish to become familiar with the ECL language.