Rajath Prasad

Engineering Manager, Compute at Uber

Amsterdam, North Holland, Netherlands
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Summary

👤
Senior
🎓
Top School
Rajath Prasad is an engineering manager with 15 years of experience building and scaling high-performance distributed storage and compute systems, now leading Uber’s Kubernetes team in Amsterdam. He spent multiple years at Pinterest growing and technical-leading Key Value Systems into a unified RocksDB-backed service that serves hundreds of millions of queries per second, stores petabytes, and supports ML feature stores across the company. Rajath combines deep systems expertise—HPC, algorithms and operating systems—with hands-on backend work such as implementing Kafka-to-RocksDB ingestion for open-source projects. He has a track record of operational impact, driving $20M+ infrastructure savings and significantly reducing on-call and incident load. Comfortable both as a manager of 12+ engineers and a contributor to low-level storage integrations, he bridges research-quality thinking from his Georgia Tech background with pragmatic production delivery. Colleagues note his ability to translate complex performance constraints into practical, scalable engineering roadmaps.
code15 years of coding experience
job9 years of employment as a software developer
bookMaster of Science (MS) Computer Science, Master of Science (MS) Computer Science at Georgia Institute of Technology
bookBachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at NITK
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Github Skills (8)

rocksdb10
kafka10
c-language10
cprogramming-language10
librdkafka9
thread-pool9
docker8
dockers8

Programming languages (1)

C++

Github contributions (5)

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pinterest/rocksplicator

May 2019 - Sep 2021

RocksDB Replication
Role in this project:
userBack-end Developer
Contributions:180 reviews, 49 commits, 90 PRs in 2 years 4 months
Contributions summary:Rajath implemented a Kafka consumer to enable the ingestion of Kafka messages into RocksDB. This involved creating a KafkaConsumer class, KafkaConsumerPool, and KafkaWatcher class to handle consuming and managing Kafka messages. The changes included Docker modifications for building a new image.
rocksdbreplication
Contributions:14 commits in 1 month
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Rajath Prasad - Engineering Manager, Compute at Uber