May 2023 – Jan 2025 · 1 yr 8 mos

Feb 2022 – May 2023 · 1 yr 3 mos

Mar 2020 – Feb 2022 · 1 yr 11 mos

• Trends and Event Discovery @ Twitter

Mar 2019 – Mar 2020 · 1 yr · Greater Pittsburgh Area

• I work on delivering Machine Learning based solutions to extremely challenging problems on real world noisy datasets. Currently I am working on building a semi-supervised neural ranker.

May 2018 – Aug 2018 · 3 mos · Mountain View, United States

• I worked on a part of Job Recommendation pipeline at LinkedIn. I started the exploration of a new classification technique based on Gaussian Processes and Generalised Linear Mixed Models. A patent for my work is underway.

Jul 2016 – Jun 2017 · 11 mos · Bengaluru, Karnataka, India

• I worked in Spam and Relevance team of LinkedIn for a year as an Applied Research Engineer.
• →Modeled propensity of users to spread unprofessional content using regression models based on their activity and network structure
• → Analyzed community structure with respect to spread of low quality content on the user graph
• → Implemented data sketches to support approximate most frequent item and quantile queries on large online data streams

Jul 2015 – Jun 2016 · 11 mos · Bengaluru, Karnataka, India

• LinkedIn search serves information needs of 400MM+ members. I worked in the Search Team that takes care of LinkedIn, SlideShare and Lynda search.
• → Worked on entire lifecycle of a search query ­ detecting query intent, entity resolution, indexing, retrieval and personalized ranking
• → Built end-­to-­end search on LinkedIn Learning and Slideshare corpus including relevance for auto­suggest and search page
• → Implemented corpus ­specific joint language detection and spell-­correction model based on TF­IDF for queries on Slideshare search
• → Formulated query rewriting modules to handle complex queries an internal search tool on LinkedIn's codebase
• → Troubleshooted production issues like load distribution and handling live updates with each node serving hundreds of live queries per second

Jan 2015 – Jun 2015 · 5 mos · Bengaluru, Karnataka, India

• LinkedIn search serves information needs of 350MM+ members. I worked in the Search Team that takes care of LinkedIn and Slideshare search. I Implemented Near Duplicate Detection in articles to weed out plagiarised content on a large corpus of millions of documents.

Jun 2015 – Jul 2015 · 1 mo

Sep 2014 – Jun 2015 · 9 mos

• getPlaced() is an initiative from a highly motivated team of BITS Pilani and IIT undergraduates to provide a quality service which would assist engineering students, who want to pursue career in Computer Science and IT companies, to get the best out of campus placement process.
• The workshops consisted of lectures, mock interviews, resume review sessions and online coding tests.
• We have held Placement camps in BITS Pilani, Goa Campus and BITS Pilani, Hyderabad Campus.

May 2014 – Jul 2014 · 2 mos · Bengaluru, Karnataka, India

• Worked with Infrastructure Engineering and Operations Team. Developed an internal tool called ‘InFlaps’ which captures issues on links present in LinkedIn’s backbone network. It acts as a single interface letting network engineers monitor and process these alerts. Automation achieved by the tool led to the huge reduction of time consumed in manual monitoring.

Jun 2013 – Jul 2013 · 1 mo · Goa, India

• Developed a full-fledged Inventory Management Software Application for the company.

Jan 2013 – Jan 2015 · 2 yrs · Pilani

• Coordinated Alumni Research talks for two subsequent years. The Research talks remain an essential part of the learning model in the most premier institutes around the world. Featuring research talks by BITS Pilani graduates currently working on some really hot research topics, the talks are broadcasted 'live' to the Goa and Hyderabad Campuses of BITS Pilani.

May 2011 – Dec 2013 · 2 yrs 7 mos · Pilani

• Formalized a Self Help Group of village women and helped them generate a regular income and hence assume financial independence.