GSoC 2016- Anerist
Contact Information
- Email Address: sacredlight2709@gmail.com
- Freenode IRC Nick: verbal27
- Code Forges (GitHub, GitLab, BitBucket, etc.):
- Github : https://github.com/GayatriSN
- Bitbucket : https://bitbucket.org/pianoangel27
- Social Media Accounts:
Questions to answer
Why do you want to work with the Fedora Project?
Fedora was the first Linux Distribution I used after hearing about Linux when I joined my Diploma in Computer Engineering Course. Since then, Fedora has been my primary OS for almost 7 years now. Fedora helped me understand how concepts like OS, Networks, Memory Management, etc. are actually implemented while I was learning them as a part of my Engineering Curriculum. I feel very grateful to Fedora and the Fedora Community with whom I could learn so much and I want to work with Fedora so that I can use the skills I have developed for giving back to the community with whom I grew up.
Do you have any past involvement with the Fedora Project or another open-source project as a contributor?
Yes, I have contributed to CernVM technology by CERN as a part of GSoC 2014.
Have you participated in GSoC in the past? If so, what year(s) and which organization(s)?
GSoC 2014 - Project: Streamline CernVM Contextualization Plugins, Organization: CERN-SFT
Do you plan to continue contributing to the Fedora Project after GSoC? If yes, what sub-project(s) are you interested with?
Yes, I would like to keep contributing to Fedora all year round, even after GSoC. I am interested in Automatic Atomic Host Updates and the Anerist project.
Why should we choose you over other applicants?
Having prior GSoC experience I am aware of the process, the efforts needed and I am familiar with the teamwork involved while working with the community and project mentors. I also have the passion and determination to learn and successfully complete the mentioned project. Specific to the Project, I have the both the required skills and the bonus skills mentioned for the project and the work is similar to my project at CERN.
Proposal Description
Overview and The Need
Any relevant experience you have
How do you intend to implement your proposal
A rough timeline for your progress
Final deliverable
Any other details you feel we should consider
Relevant Experience:
- GSoC 2014 - CERN- SFT, Project: Streamlining CernVM Contextualization Plugins (Languages: Shell, Python, C | Technologies: Public Clouds, Virtualization, Kernel Development)
- Taken the Artificial Intelligence, Machine Learning and Image Processing Courses during the degree in Computer Engineering(Language- Python 3).
- Completed Udacity's Machine Learning Engineer Nanodegree (Language- Python 2.7).
- Engineering Degree Capstone Project - Business Intelligence - Data Driven Hedging (R Language, Forecasting and Machine Learning)
- Basic Experience with Google Tensorflow Python API
- Good Problem Solving and Debugging Skills.