Bonjour!
I am an Applied Research Engineer at LinkedIn where I lead projects in the Trust and Safety team with a focus on Viral Spam and Misinformation detection. I spearhead model design, implementation, collaboration, and productionisation which has significantly improved the quality of user-generated content on the platform, leading to better user experiences and increased member engagement.
I hold a Bachelor's and Master's degree in Mathematics and Scientific Computing from the Indian Institute of Technology Kanpur, where I also completed a Minor in Computer Science. I have also spent time as an exchange student at the University of Waterloo in Canada.
I am passionate about creating intelligent and efficient systems that can have a real-world impact. I have a keen interest in deep learning and am fascinated by the cutting-edge advancements in the field, particularly in large language models (LLMs).
Highlights
[Apr 2023] Published LinkedIn Engineering Blog on Viral Content Detection
[Oct 2022] Got accepted as reviewer for ECIR 2023 conference
[Sep 2022] Got accepted as a reviewer for AISTATS 2023 conference
[May 2022] Patent Issued: Methods, systems, and apparatuses for detecting merchant category code shift behaviour
[Feb 2021] Grace Hopper Celebration Speaker for Solving real world AI problems through Deep learning: Video Virality
[Sep 2019] Joined LinkedIn, India as an Applied Research Engineer
[June 2018] Graduated from Indian Institute of Technology Kanpur
[Jan 2016] Attended University of Waterloo, Canada as an Exchange Student