Summary
Sai Koduru is a Staff Software Engineer with 14 years of experience building high-performance distributed systems and storage at scale, now working on Google's Resource Management Platform after a long tenure solving big-data challenges at Microsoft Azure Storage and ADLS. He holds a PhD in Computer Science focused on size-oblivious cluster programming and runtime parallelization, bringing research-grade rigor to production engineering problems. Sai has owned critical infrastructure like the internal HDFS driver, ADLS Linux client, event integration frameworks, and end-to-end compression in client SDKs, reflecting deep expertise in C/C++, HPC, Hadoop/HDFS, and compiler technologies. Comfortable straddling systems, compilers, and storage, he combines hands-on implementation with system design and performance tuning for massively distributed environments. Based in the Greater Seattle Area, he also volunteers as a teacher/TA, signaling a commitment to mentoring and broadening access to computing.
14 years of coding experience
15 years of employment as a software developer
MTech (CS) Computer Science, MTech (CS) Computer Science at Sri Sathya Sai Institute of Higher Learning
Sri Sathya Sai Primary School
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of California, Riverside
High School Math Physics & Chemistry, High School Math Physics & Chemistry at Sri Sathya Sai Higher Secondary School