MSDS Seminar Series in Data Science: Sriram Sankar, Principal Engineer at Uber

Friday, October 8 12:30 – 2 p.m.

101 Howard St. Rooms 154-156

MS in Data Science Seminar audience members watching lecture.
MS in Data Science Seminar audience members watching lecture.


In this presentation, I will discuss various aspects related to search and recommendations relevance - including indexing, query understanding, retrieval, and building ML models. This will be highly interactive and I hope to learn as much from the audience as they can learn from me.


Sriram is a Principal Engineer at Uber responsible for tech strategy. In addition, he also leads the Search Infrastructure team and Personalization/Relevance efforts for UberEats.

Prior to Uber, Sriram has held positions at VMware, Google, Facebook, LinkedIn, and Sun Microsystems. He was responsible for adapting the Unicorn graph infrastructure for search at Facebook and building the Galene search engine at LinkedIn.

He started his career in the area of software development tools - and has built compilers, debuggers, and static analysis tools. He was the primary author of JavaCC - released in 1996 and still in use today.

Sriram obtained his PhD in Computer Science from Stanford University, and BTech in Computer Science from Indian Institute of Technology, Kanpur.

He still finds time to write code and believes this is required to effectively lead large software engineering initiatives. In his spare time, he spends time with his family, plays various racquet games.