Ayush Agarwal

About Ayush Agarwal

I am machine learning engineer at Expedia Group working in the fraud and risk team to ideate, build and deploy ML models to prevent fraud in travel booking and supply data.Previously, I worked as a Senior Machine Learning Engineer at Iterable, I work on building and delivering AI solutions that help marketers achieve world-class customer engagement at scale. I led the development of the patented brand affinity pipeline, which assigns labels to billions of users based on their relationship with brands, enabling targeted and personalized campaigns. I also spearheaded the next best action project, which leverages a cutting-edge LLM API to generate dynamic message content and audience recommendations for marketers.I hold a master\'s degree in computer science from Johns Hopkins Whiting School of Engineering, where I worked on my thesis at the Computational Interaction and Robotics Lab. There, I assembled, annotated, and analyzed surgical video and kinematic data collected using the da Vinci surgical robot, and tackled the problem of surgical skill and precision evaluation.I am passionate about applying machine learning and data science to solve real-world problems and create value for customers. I have expertise in Spark, Python and machine learning, and have published papers and obtained certifications in related fields. I am always eager to learn new skills and technologies, and collaborate with diverse and talented teams.

Experience

1. Machine Learning Engineer Iii

   Expedia Group

   Nov 2024 — Present · Seattle, WA, US

   Fraud and Risk Modeling - Deployment, optimization and maintenance of end to end machine learning pipelines- partner with product and scientists to ideate and implement feature and model improvements- built notebook compatible SDKs to accelerate and unblock experimentation, focusing on user experience, authentication and generality of the solution for it to be used across the stack- cloud cost optimization for offline models through data query improvements and compute configuration tweaks- mentor and work with other engineers on the team as part of owning a fraud domain (supply channels)

Education

• Indraprastha Institute of Information Technology, Delhi

  Bachelor of Technology (BTech), Computer Science

  2014 — 2018

• Johns Hopkins Whiting School of Engineering

  Master's degree, Computer Science

  2018 — 2019