Bipin Prasad
Principal Software Systems Engineer at Yahoo
New York, New York, United States
Summary
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Top SchoolBipin Prasad is a Principal Software Systems Engineer based in New York with over 30 years of engineering experience and a decade in senior technical roles across finance and big-data low-latency platforms. He specializes in high-throughput, distributed systems, in-memory caching and risk computations, having led architecture and performance work at Yahoo, major Wall Street firms and consulting engagements. Bipin is a pragmatic polyglot—strong in Java and Python with production experience in Spark, Redis HA, messaging systems and compact storage using protobuf—who routinely turns complex data problems into scalable, testable pipelines. He also contributes to open-source infrastructure, notably improving Apache Storm’s scheduler for better performance and configurability. Bipin’s background blends formal math and MIS education with hands-on systems design, and he’s known for tackling large-scale data comparisons and latency-sensitive automation that others consider operationally risky.
11 years of coding experience
35 years of employment as a software developer
MBA, Management Information System, MBA, Management Information System at University of MinnesotaISC, Science, ISC, Science at St. Paul's SchoolMath, Math at The Graduate Center, City University of New YorkB Tech (Hon), Mechanical Engineering, B Tech (Hon), Mechanical Engineering at Indian Institute of Technology, Kharagpur
Stackoverflow
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Github Skills (6)
javas10
apache-storm10
back-end-development10
java10
configuration-management9
python8
Programming languages (4)
Github contributions (5)
apache/storm
Oct 2019 - Jan 2023
Apache Storm
Role in this project:
Back-end Developer
Back-end DeveloperContributions:276 reviews, 48 commits, 178 PRs in 3 years 3 months
Contributions summary:Bipin primarily contributed to the Apache Storm project by modifying the ConstraintSolverStrategy class, which is responsible for resource scheduling. Their changes included refactoring the `backtrackSearch` method to use iteration instead of recursion, and adding new constraint configurations. Furthermore, they increased the timeout duration for scheduling and implemented changes to handle the -c option in storm.py, which deals with rebalancing configurations. These changes suggest a focus on improving the performance and configurability of Storm's scheduling and rebalancing functionalities.
apache-stormstormapachedistributedstreaming
bipinprasad/storm
Oct 2019 - Jun 2024
Mirror of Apache Storm
Contributions:2 PRs, 203 pushes, 95 branches in 4 years 8 months
apache-stormstorm
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