https://dream.weekday.works/redirectToHiringCopilotExtension/

* Built a textbook helper app. Grew it to over 60k downloads. 
* Built a Whatsapp Chat Analyser App. Baked virality into the product with virality factor over 5 for college student segment.
* Primary and Secondary Market Research for multiple other ideas.

Working with Yahoo USA to develop search product for Yahoo Japan

Reuters

Sequoia Capital

The Capital Corporation

OpenText

SoftBank Capital

Smile Group

Quest Ventures

PSP Investments

Iconica Partners

TGA Capital

Bauhaus Group

Everest Group

Chainfund Capital

Online platform offering multi-category news. The platform enables users to search for various information like news, weather, people, company details, and more by providing keywords. It offers mail services for users. It offers features like trending details, women-centric news, and more. It monetizes through advertisements on its platform. It also publishes polls on current events.

Online platform offering multi-category news

* Managed product team of 3 engineers as a technical lead.

User Segment Estimation,  Media Company
•    Built gender and age classification system from user activity logs of visits to YJ search, YJ news, etc.
•    Ran User Personalisation A/B test on Yahoo! Toppage with over XXX Million PVs per day. 
•    Developing general-purpose user segment system by combining user activity & content logs across YJ services

Image Search for Yahoo Knowledge Base, Data & Science Solutions
•	Implemented backend system to process large-scale crawl data and generate labelled Image data.
•	Researched and developed techniques for image & entity matching to efficiently generate quality data for Knowledge base covering more than 50% of person search queries.
•	Customised and improved performance of state of the art solution for the problem of main content extraction for Japanese Htmls

Misc.
•	Won Viewer’s choice and Best Remote Hack award in Yahoo! Japan-Taiwan Hackday event for a youtube dialogue search application.
•	Assisted in campus recruitment from 3 IITs from resume shortlisting to handing out offers.
•	Worked on the problem of re-ranking results of Yahoo! Shopping search using static features incorporating user click prediction and therefore improving AUC

•	Design and implement a Contextual Recommendation Engine of Educational contents for employees in corporate environment.  
•	Paper Published at AIED 2015, Spain titled Contextual Recommendation of Educational Contents

Represented college at 
+ MIT Robocon, 2013
+ Techfest, IIT Bombay 2012
+ Kshitij, IIT Kharagpur 2012