Raghuveer Chanda

About Raghuveer Chanda

I specialize in developing end-to-end applications that enhance personalization through up-to-date user representations. These representations are deployed across YouTube Ads ranking systems and launched across all YouTube product surfaces—including Player, Feed, and Shorts—as well as various advertising segments such as Direct Response, Apps, and Retail. My contributions have driven millions in incremental advertiser value, generating significant revenue for both Google and YouTube.I hold a Master\'s degree from the School of Computer Science at Carnegie Mellon University (CMU), where I focused extensively on the applications of ML/AI in recommendation systems and natural language processing (NLP). Prior to that, I worked for two years at Visa Inc, where I developed end-to-end machine learning models for anomaly detection in transaction data.

Experience

1. Senior Research Engineer

   Google DeepMind

   May 2025 — Present · Mountain View, CA, US

   Leading research and development efforts in GDM Ads to apply Gemini multimodal and reasoning LLM capabilities for deeper content and user understanding across Search, YouTube, and Display Ads to drive measurable improvements in engagement and performance.* The focus areas include the generation of high-quality tags, semantic embeddings, and signals to power ad targeting, relevance, and creative optimization. Collaborating across Google DeepMind, Google Research, and multiple product teams to deploy cutting-edge AI models to production.

Education

• Carnegie Mellon University

  Master of Computational Data Science, Analytics

  2017 — 2018

• Indian Institute of Technology, Kharagpur

  Bachelor's Degree, Computer Science

  2011 — 2015

Skills

• After Effects
• Photoshop
• Scala
• Flash Animation
• Java
• Apache Hadoop
• C++
• Microsoft Excel
• Teamwork
• C
• Programming
• Microsoft Office
• Python
• Solidworks
• Javascript
• Html
• Apache Spark