Rahul Ravindran is a Senior Software Engineer with 12 years of experience building scalable infrastructure and ad systems, currently contributing to Netflix’s Ads Platform from San Francisco. He has led core retargeting pipelines at Snap and designed observability and metric pipelines at Yelp, combining production-grade infrastructure know-how with data engineering rigor. His background spans data engineering, ETL and microservices, and he has spoken publicly about cost management for observability—evidence of both technical depth and operational stewardship. Rahul’s trajectory from research and academic tooling to leading ad-platform features highlights a knack for turning analytics and observability investments into reliable, cost-conscious production systems.
12 years of coding experience
9 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of Southern California
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at V.E.S Institute of Technology
Data Analyst Nanodegree Data Science, Data Analyst Nanodegree Data Science at Udacity
Contributions:148 commits, 146 pushes, 1 branch in 7 months
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Rahul Ravindran - Senior Software Engineer at Netflix