Jan 2020 – Feb 2020 · 1 mo · Singapore

May 2019 – Jul 2019 · 2 mos

• Worked on offline evaluation of a search ranker using behavioral data collected by the search engine.
• Proposed and implemented various offline evaluation methods which can be classified into counterfactual and regression-based methods.
• These methods can be further classified into counterfactual and direct reward prediction methods.
• These methods are scalable and do not suffer from the problems associated with online evaluation.
• Used Adobe Stock and Yandex search engine dataset for experimentation.

Aug 2017 – Mar 2018 · 7 mos · Kanpur Area, India

• Helped freshers by taking remedial classes and providing one to one mentoring.

May 2017 – Jul 2017 · 2 mos · Indian Institute of Technology, Kanpur

• Worked on a scalable application with an extensive technology stack.
• Implemented the functionality for logging-out a user from all devices using Redis in-memory database.
• Added constraints to prevent unauthorized access to the system.