Jun 2019 – Mar 2022 · 2 yrs 9 mos · Greater Bengaluru Area

• We are building India's largest AI-powered content ecosystem that allows our community to create content from any corner of the country, without any social or language barrier. Our work has a direct impact on India and its people as we provide hundreds of millions of Indians an inclusive platform to express freely. ShareChat & Moj are witnessing rapid growth with already over 300 Mn MAUs.
• If you are keen on pushing the boundaries of state of the art in ranking and recommender systems, Computer Vision, and Multimodal Machine Learning; if you want your work to positively impact the experience of hundreds of millions of users - our AI team is the best place for you!

Oct 2015 – May 2019 · 3 yrs 7 mos · Gurugram, Haryana, India

• The AI team at Hike plays a crucial role in solving the unique problems that arise as we bring the next billion people online. We mine one of the biggest repositories of user insight in India – working in areas such as recommender systems, user modeling, spam filtering, fraud detection, conversation and emotion modeling, social graph mining, graph search, viral growth modeling, churn modeling etc.

Jan 2015 – Oct 2015 · 9 mos

• Led ML programs focused on personalization and customer analytics. Created Customer Insights Platform, a framework that creates rich 360 degree customer profiles, helps non-technical users easily slice/dice the profiles into segments and deeply understand the behavior of different customer segments. The platform supports data-driven decision making for different retail business functions (sales campaigns, marketing, product strategy, demand forecasting). Matured the personalization pipeline to serve a variety of use cases (e.g., real time offers, content notifications, intent based recommendations). Developed a novel product ranking scheme based on multi-armed bandits to improve distribution of visibility across a wide pool of products.

Apr 2014 – Jan 2015 · 9 mos

• Created data products to help India's leading fashion e-tailer serve each customer at 1:1 level. Developed novel predictive models of customer understanding that capture taste and intent of any customer and help in personalizing use cases such as site navigation, campaign targeting etc.

Jul 2008 – Mar 2014 · 5 yrs 8 mos

• Nearly 6 years of R&D experience at IBM Research.
• Expertise in Information Retrieval, Information Extraction and Machine Learning techniques.
• Initiated research projects, led end-to-end development of software solutions, coordinated research with global cross divisional teams and successfully fielded solutions at customer sites. Research solutions adopted by large practices at IBM Global Services and introduced as features in IBM Software like Rational System Architect (RSA).
• Research primarily focused upon improving productivity of knowledge workers by serving their information needs better. Developed novel methods and tools for different stages in the knowledge engineering pipeline.
• Received IBM Research Division Award, Client Outstanding Technical Accomplishment Award, four Patent Plateau Awards and chosen as IBM Talent Spark.
• Published 18 research papers in top international conferences and filed 22 patents.