Jan 2020 – Jun 2020 · 5 mos · Bengaluru, Karnataka, India · On-site

• Developed Machine Learning models to analyze and improve student performance in standardized exams using an online learning platform.
• Got one paper on Auto generation of diagnostic assessments and their quality evaluation accepted in Education Data Mining Conference (EDM 2020) in Morocco
• Helped draft a blog post on 1 PL IRT model in Embibe blog
• Worked on generation of nudges to help improve the student's learning outcomes with a learning platform
• Worked on generating success stories to inspire students improve their learning outcomes.
• Conducted a knowledge session on linear algebra for data science based on the Deep Learning book Chapter 2.

Aug 2018 – Dec 2019 · 1 yr 4 mos · Hyderabad, Telangana, India · On-site

• Involved in a couple of machine learning related projects, among others. Worked on a Selenium based labeling and testing framework for webpages, extending it to evaluate the accuracy of extraction algorithms from news articles. Trained a machine learning model for detecting relevant images in news articles for the reading view extraction feature, leveraging the Semantic document solution of Bing team for getting the Visual DOM of a webpage. Built a client side ML model to label form fields for the autofill feature using neural networks. Improved the precision of the autofill feature by fixing user promoted bugs. Also worked in a project to make web browser extensions compatible with the Windows store.
• 1 US patent titled System and Method For Selecting Relevant Content In An Enhanced View Mode filed in May 2019 for an idea related to reading view feature.
• 1 poster paper presented in MLADS (Machine Learning and Data Science) SYNAPSE 2019 conference of Microsoft IDC titled Extraction of Relevant Content for Reading View in Edge
• 1 paper titled Semi-Supervised Method Using Gaussian Random Fields for Boilerplate Removal in Web Browsers selected in IEEE INDICON 2019 conference
• Participated in the Microsoft Hackathon 2019 project for an ML solution to label web form fields, built using Azure ML studio.
• Conducted a few ML101 introductory machine learning hands on classes for team members from Edge East team
• Organised a weekly statistical inference series class for members of the Edge East team.

Nov 2011 – Aug 2018 · 6 yrs 9 mos · Bangalore, India · On-site

• Involved in applications related to user modelling, short text classification and recommender systems, using anonymized contextual data gathered from mobile devices, using various machine learning algorithms and tools.
• EEG and BCI project: applications related to user attention when browsing on web, with the Neurosky sensor and SDK
• Detection of bias in news articles read on the web browser project.
• Mentored 2 summer interns and 1 fresher on machine learning / recommender systems related projects.
• 5 accepted papers in international conferences in 2018 (2 in ICOST, CCNC, NLDB, ICWS)
• 1 WIPO patent filed in 2018 for a new idea (VR based system to detect visual field anomalies) and 1 WIPO patent based on previous work, filed in 2019 for Machine learning in blockchain.
• Mentored interns, freshers and first time inventors to create and file inventions and for research.
• Taught internal courses in Data Structures and Algorithms for Samsung Engineers from Feb-June 2013.
• Recipient of Star IP award from Samsung for enabling selection of good ideas, April 2013
• Paper presented at INDICON 2015 conference on web browser responsive to user interest level selected for Best Paper Award in Track 4.
• Paper presented at IEEE DISCOVER 2016 conference on NFC selected for Best Paper Award in Communications Track.
• Special Award (SRIB Special Recognition) during Annual Awards Ceremony, Feb 2016 as part of the IP team and Catalyst for being one of the selected IP Champions responsible for increasing A1 grades for patents in SRIB.
• Recipient of Tech Paper Shepherd Award in April 2017 from Samsung for enabling generation of technical papers in my team.
• Top 10 finalist within Samsung Bangalore in May 2017 for the C-Lab Intrapreneurship competition, for the VR Content Capture idea.

Oct 2007 – Oct 2011 · 4 yrs · Stockport, United Kingdom · On-site

• Involved in the development of logistics systems (Warehouse Control Systems, Warehouse Management Systems) for different clients including Asda Wal Mart, Screwfix B&Q, Lever Faberge, Linpac etc. Involved in different stages of software life cycle including coding and development and also on site testing and commissioning, on call support, bug fixing, etc. Platform used: mainly C with Informix DB

Oct 2006 – Jul 2007 · 9 mos · Manchester, United Kingdom

• Bin-testing of commands and applications testing on Solaris and Linux boxes of Transitive's software Quicktransit, for porting applications from Solaris to Linux.

Sep 2002 – Sep 2006 · 4 yrs · Manchester, United Kingdom · On-site

• Demonstrated in various undergraduate laboratories in School of Computer Science including Java, Linux, Operating systems, Robotics, Prolog, Electronics design with Mentor Graphics. Helped students with their problems and marked their assignments.