The HPCC Systems intern program runs every year. Application is by project proposal. Students choose a project for our list of available projects or suggest an idea of their own that leverages HPCC Systems and will benefit our open source community. The proposal application period opens durin fall and the final deadline is late March.
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- Find out about the HPCC Systems Intern Program
- Read a blog or watch a recording about the intern program
- Find out about previously completed intern projects
- Available project list and proposal guidelines
As part of the program, we ask students to complete an evaluation form so we can keep a record of their time with us. We ask them to comment on their experience in their own words. Here are some from the students who have worked alongside us.
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"Overall, I enjoyed working on this project and have a positive attitude about it. This project helped me to solidify some of the feelings I have about research, and I ended up really enjoying coding and testing a new implementation."
Jack Del Vecchio, Accepted Student 2022
Project completed: Interfacing MongoDB into ECL
"I had an amazing working on my project and I thoroughly enjoyed it. I learned more than I thought was possible from working with HPCC and would definitely recommend the internship program to everyone."
Ananya Gupta, Accepted Student 2022
Project completed: Nepali NLP Initiative
"I feel very happy and satisfied with my experience. This is because I could able to learn a lot throughout this summer internship. I learned coding in NLP++ and ECL. I also learned to write blog and develop website. Not only that, I learned to write a press release and learned marketing skill to recruit participants for this project."
Achinthya Sreedhar, Accepted Student 2021
Project completed: Improving conditional probability calculations using kernel methods in Reproducing Kernel Hilbert Space (RKHS) as a part of the Causality Project
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Project Completed: 2019 - Cleaning and Analysis of Collegiate Soccer GPS Data in HPCC Systems
Eleanor Carl, Accepted Students 2021
Project Completed: Continue Novel COVID-19 Tracker and Global Map Using HPCC Systems ECL Watch
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"The internship experience was of course great. I really enjoy working with Tim Humphrey and the rest of the team at HPCC Systems. This year the work with a maintained bundle, (GNN) only adds to it. Hopefully, the work I have done will eventually be able to have a larger impact for the HPCC Systems open source community."
Project Completed 2019 - Create HPCC Systems VM on Hyper V
"My mentor is very knowledgeable of HPCC Systems/ECL, AWS, and other HPCC Systems team members. This is due to his many years working for the company and allowed him to quickly answer my questions directly, or instantly knew who the best person to ask if a specific question was better answered by them."
Project Completed 2018 - Begin development of a software library (consisting of ECL and Python code) that would provide HPCC Systems distributed neural network training
"I am working on my own project so I feel very positive about it. I know it has relevance to not only me but also to LexisNexis Risk Solution and the tech community in general. Since it was my idea, I obviously am very motiviated and excited to see it fully working and have a sense of ownership that might be more difficult to feel working on other projects. Since HPCC is open source, my gain experience in working with and contributing to a large publicly visible project is immense."
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Sarthak Jain - GSoC Accepted Student 2015/Internship 2016/2017
Project completed - Add new statistics to the Linear and Logistic Regression Modules
'It was an excellent way to implement basic ML primitives while taking in account the problems to implement these in Distributed Architectures. [The] Main learning point I will take from this project is how to dig deep into an existing code base to understand why a new piece of code is not working as you expected.'
Anmol Jagetia - GSoC Accepted Student 2015
Project completed - Expand the HPCC Systems Visualization Framework (Web Based)
'I [was] really happy to work with HPCC Systems as a GSoC student. It was one of the most rewarding and learning times of my life. I had very basic experience with a d3 project in the past, and it helped in getting started. The framework was totally new, but the idea, and how the problem is tackled was quite similar. I also benefited from learning JavaScript OOP before the GSoC period.'
Syed Rahman - HPCC Systems Summer Internship 2015/2016
Project completed (2015) - Implement the CONCORD algorithm
‘Implementing concord in a data-intensive environment was exciting not only because of my interest in covariance estimation, but also because it presents an opportunity to learn about distributed computing and [my mentor] has been especially helpful explaining the challenges…and how to overcome them.'
Project Completed (2016) - Implement the Convex Sparse Cholesky Selection (CSCS) machine learning algorithm
Anshu Ranjan - HPCC Systems Summer Internship 2015
Project completed - Improve child query processing
'I sure feel that this is a valuable experience. The fact that HPCC systems manage a huge amount of data is exciting and any kind of contribution that I will make to it would be very satisfying. My mentor has played an excellent role in guiding me...'
Evan Sheridan - Intern partnership between HPCC Systems and ICHEC in 2015
Project completed - Integrate visualizations into the Eclipse IDE driven by HIPIE
'The project is quite interesting, despite the initial stages of figuring everything out I feel that I am learning a huge amount in a field that I have done no formal work in before. I am learning a lot about the current state of the art and how the HPCC Systems are integrating this into their work...'
Michael Tierney - Intern partnership between HPCC Systems and ICHEC in 2015
Project completed - Add support to Eclipse for the HIPIE language
'I think the internship is quite challenging... I had zero experience with grammars, plugins and making text editors before this. So far I have learned a great deal about Java, Antlr and the eclipse plugin API. The working relationship with [my mentor] is quite friendly even though he pushes us hard. I feel the quality of the work while starting out a bit iffy has become progressively more clean. I feel that it will be built upon when my internship ends.'
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