Summary
Shitesh Saurav is a Staff Software Engineer in Sunnyvale with a decade of experience building large-scale data and ML pipelines across InMobi, Yahoo, and Uber. He combines strong engineering fundamentals in Python, Java, Spark, and Hadoop ecosystem tools with hands-on experience designing production frameworks that optimize runtime and resource use for ad systems and analytics. Known for driving end-to-end solutions, he has re-engineered critical pipelines, added predictive features through offline analysis, and provided mission-critical support and training to peers. His background spans full-stack development, ML, and big data orchestration (Oozie, Falcon), and he holds an MS in Computer Science from USC with top academic credentials. A practical problem-solver, he moved from web and fraud-detection systems into data engineering and now guides scalable ML delivery at Uber.
10 years of coding experience
10 years of employment as a software developer
Master’s Degree, Computer Science, 3.77/4, Master’s Degree, Computer Science, 3.77/4 at University of Southern California
Kendriya Vidyalaya Sangathan
BE, Information Science, 9.5/10, BE, Information Science, 9.5/10 at PESIT
English, Hindi