Prashant Varanasi

Member Of Technical Staff at Anthropic

San Francisco, California, United States
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Summary

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Prashant Varanasi is a seasoned distributed systems and backend engineer with 15 years building high-scale infrastructure for companies including Uber, Google, Chronosphere, and now Anthropic in San Francisco. He has led platform efforts—service discovery, load balancing, RPC stacks and telemetry pipelines—authoring core Go libraries that power tens of millions of RPS and shaping Go tooling and best practices at scale. An active open-source contributor, he’s improved well-known projects such as uber-go/zap, goleak, and performance tooling like go-torch, and built user-facing extensions like a Zoom controller for Raycast that emphasizes accessibility. Pragmatic and detail-oriented, he combines low-level performance and concurrency expertise with product-minded infrastructure design, and often surfaces subtle reliability wins (e.g., memory-leak fixes and refined stack parsing) that keep large systems stable.
code15 years of coding experience
job18 years of employment as a software developer
bookUNSW Sydney
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Stackoverflow

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Github Skills (37)

algorithm10
unit-testing10
algorithms10
javascript10
ropc10
apidoc10
atomics10
applescript10
testing10
drpc10
raycast10
structured-logging10
data-structure10
rpc10
go10

Programming languages (21)

SmartyJavaC++RustCMakefileGoHTML

Github contributions (5)

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uber-go/atomic

May 2016 - Jul 2021

Wrapper types for sync/atomic which enforce atomic access
Role in this project:
userBack-end Developer
Contributions:4 releases, 16 reviews, 31 commits in 5 years 2 months
Contributions summary:Prashant primarily contributed to the development of the `uber-go/atomic` repository, focusing on creating and maintaining atomic wrappers for Go data types. They implemented wrappers for `int32`, `int64`, `uint32`, `uint64`, and `String` types, ensuring thread-safe operations. The user's commits reveal a deep understanding of concurrency and atomic operations in Go, with significant changes to ensure data integrity and efficient access within concurrent environments. They also addressed issues and refactored code, highlighting their proficiency in maintaining and improving the codebase.
enforcetypescriptatomicsync
uber-go/goleak

Nov 2017 - May 2021

Goroutine leak detector
Role in this project:
userBack-end Developer
Contributions:2 releases, 22 reviews, 29 commits in 3 years 6 months
Contributions summary:Prashant focused on improving the `goleak` tool, a Goroutine leak detector. They implemented stack parsing logic, adding a new package for stack manipulation and incorporating unit tests to validate its functionality. Furthermore, the user created options to filter stacks, adding features for retries and ignoring specific functions and library calls like signal and trace package. This involved modifying core components, including adding `FindLeaks` and `VerifyNoLeaks` functions.
golangleakdetectorgogoroutine
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Prashant Varanasi - Member Of Technical Staff at Anthropic