Nov 2019 – Jan 2022 · 2 yrs 2 mos · Greater Bengaluru Area

Feb 2019 – Jul 2019 · 5 mos

Oct 2018 – Dec 2018 · 2 mos

Oct 2018 – Dec 2018 · 2 mos

Jul 2018 – Nov 2018 · 4 mos · Remote

• Designed an automated Jenkins support for building jobs in Maven through bot service for 75\% of Opendaylight projects.
• Implemented a version of MediaWiki-rst migration for conversion of MediaWiki proposals to other formats. Worked on an automated design for constructing a project dependency graph for over 93\% versions of OpenDaylight projects.

May 2018 – Aug 2018 · 3 mos · India

• Implemented a k-means centric optimization approach to discover similarity metrics from data distribution with better convergence and a 6.5% increase in accuracy measured by silhouette score compared to traditional methods.
• Performed comparative theoretical analysis on traditional metric learning algorithms w.r.t precision metrics and convergence speed.

May 2018 – Aug 2018 · 3 mos · Singapore

• Worked with around 126 project developers underthe biggest open source
• community of Asia on the SUSI.AI project - an artificial intelligence chatbot in
• the likes of Google Home, Amazon Alexa.
• Implemented new architecture for SUSI Smart Speaker Application prototype
• with improvements in text to speech, voice recognition, userinterface and bug
• fixes in installation scripts

Mar 2018 – Sep 2018 · 6 mos

• Working on research papers with a team under guidance of Prof Rajan Vaish, Afelio Padilla and Prof . Shrish Goyal.
• DRI for research paper 'A neural joint model for entity and relation extraction from biomedical text'
• Leading two projects of my own 'Predicting Passenger Survival Rates on the Titanic' and 'Predicting User Group Activity Using Mobile Sensors'

May 2017 – Aug 2017 · 3 mos · India

• Worked on desktop applications being built primarily in Python , Node.js and
• JavaScript
• Added extra features under oneauth-example-android - a sample app that
• demonstrate login from android client.
• Contributing to some small projects on educational models and android games.
• Currently within top 10 open source contributors

May 2017 – Jul 2017 · 2 mos · Kharagpur I, India

• Summer Internship at Complex, Network Research Group, (CNerg Labs)
• IIT Kharagpur.
• Designed classification models upon student group dataset to predict group formation and group dynamics using mobile sensor data like wifi location, accelerometer values, and voice levels.
• Achieved average precision of 88.9% measured by standard accuracy measures as compared to other proposed models.

Dec 2016 – Apr 2018 · 1 yr 4 mos

• SunPy is a community-developed free and open-source software package for solar physics. It aims to be provide a comprehensive data analysis environment that allows researchers within the field of solar physics to carry out their tasks with the minimal effort.
• The SunPy package was established by a small group of scientists and developers at the NASA Goddard Space Flight Center.
• Worked with a team ofresearch scientists from NASA, Sheffield University,
• Stanford University , UCL London.
• Added extra functionalities to the solar map objects being used and solar map
• plotting procedures.
• Implemented new features to analyze regions of high solarintensities from
• solar plot and new image processing algorithms to capture solar flares from
• solar plots with an accuracy of 83.3%
• Worked in a team of 60 research scholars and scientists from NASA, UCL and
• Stanford. Got acknowledged along with researchers at NASA Goddard Space
• Flight Centerfor outstanding contributions to the project. - Software Releases
• Got acknowledged for my work - my name being published with researchers at
• NASA
• All code releases can be seen here https://zenodo.org/search?page=1&size=20&q=conceptrecid:%22591887%22&sort=-version&all_versions=True