Summary
Narendra Bidari is a Senior Software Engineer in the San Francisco Bay Area with 11 years of hands-on experience building scalable APIs, data pipelines, and ML-driven recommendation systems. At YouTube he has led growth and discovery efforts for Primetime content and sports (including NFL), running 20+ experiments that materially increased acquisition and ARR while advancing feature-extraction and ranking models for media. His background spans cloud-native large-scale streaming and ETL (Kafka, Spark, Storm), backend services (SpringBoot, MySQL, Redis) and platform work at Samsung Research and Symantec, giving him a strong end-to-end systems perspective. He combines product-minded experimentation with deep implementation experience—optimizing latency-sensitive tools and migrating core services onto newer platforms. Educated with an MS in Computer Science from UT Dallas, he has presented at industry conferences and frequently bridges ML research and production engineering to drive measurable business impact.
11 years of coding experience
12 years of employment as a software developer
Master of Science Computer Science & Engineering, Master of Science Computer Science & Engineering at The University of Texas at Dallas
SSLC English and Science, SSLC English and Science at Pavan English Medium High School
B.E Electronics and Communication, B.E Electronics and Communication at Siddaganga Institute Of Technology (Official)
Pre University Course Science, Pre University Course Science at Karnataka Science College, Dharwad