Rakesh Kumar
Senior Staff Software Engineer at Lyft
Newark, California, United States
Summary
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RockstarRakesh Kumar is a Senior Staff Software Engineer based in Newark, CA with over 14 years of experience designing and operating highly distributed, scalable systems. At Lyft he led the re-architecture and reliability of dynamic pricing pipelines—migrating to streaming processing with Apache Beam to cut end-to-end latency by 50% and keep services stable during peak events. He blends hands-on backend engineering with people leadership, having managed and mentored teams, run cross-team launches, and defined multi-year roadmaps. His technical breadth spans embedded firmware and telecom drivers to cloud-native data processing, reflected in open-source contributions to the Apache Beam Python SDK and practical learning projects like an Air Traffic Controller example repo. Known for pragmatic, data-driven decisions and a focus on operational resilience, he delivers scalable systems that balance performance, observability, and developer ergonomics.
14 years of coding experience
16 years of employment as a software developer
English, Hindi
Stackoverflow
4,057reputation
694kreached
19answers
57questions
python-requests
top-5%
Github Skills (18)
python10
testing10
object-oriented-programming10
java10
javas10
data-processing10
state-management10
apache-beam10
streaming10
python-requests9
android6
rest6
android-widget6
intent-filter6
android-intent6
Programming languages (6)
Github contributions (5)
rakeshcusat/Code4Reference
Oct 2011 - Aug 2014
This repo has code which can be referred as example code. These code have been written for learning purpose.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:122 commits, 2 PRs, 1 push in 2 years 10 months
Contributions summary:Rakesh primarily contributed to the development of an Air Traffic Controller application. Their work focused on implementing core functionalities, as demonstrated by the addition of source code for the AirTrafficControlerConsole and ACManager classes. These contributions include the creation of Aircraft objects, managing an aircraft priority queue, and handling takeoff requests. The user also made code adjustments.
pythonlearning-purposepurposecsharpjava
apache/beam
May 2019 - Sep 2019
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:Back-end Developer
Back-end DeveloperContributions:4 reviews, 8 commits, 14 PRs in 4 months
Contributions summary:Rakesh made several significant contributions to the Apache Beam Python SDK. They focused on enhancing timer functionality, adding window and timestamp arguments to timer callbacks, and introducing a key parameter to these callbacks for easier debugging. The user also implemented a new SetState feature for the Python SDK and addressed microbenchmark script compilation issues. Additionally, the user added the "is_not_empty" helper test method.
golangpythonstreaming-databeambatch
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