Balaji Arun

Research Engineer at Aptos Labs

San Francisco Bay Area United States
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Summary

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Rockstar
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Top School
Balaji Arun is a researcher and software engineer with 11 years of experience focused on building fault-tolerant distributed systems, currently working at Aptos in the San Francisco Bay Area. He brings deep academic grounding with a Ph.D. in Computer Engineering from Virginia Tech and applies that rigor to production-grade blockchain infrastructure. At Aptos he has contributed to the core layer-1 codebase, enhancing telemetry and log ingestion pipelines and integrating telemetry dumps into GCP BigQuery to improve observability. Comfortable across backend and DevOps domains, he blends systems research with hands-on engineering to harden reliability and operational visibility. Colleagues describe him as someone who bridges theoretical models and pragmatic implementation, often surfacing non-obvious improvements in telemetry, error handling, and deployment tooling.
code11 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at Virginia Tech
bookEngineering, Engineering at Northern Virginia Community College
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Github Skills (10)

docker10
rust10
back-end-development10
telemetry10
dockers10
cicd9
gcp9
blockchain8
move6
smart-contracts5

Programming languages (12)

MDXTypeScriptJavaDockerfileC++RustCMove

Github contributions (5)

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aptos-labs/aptos-core

Jul 2022 - Jan 2023

Aptos is a layer 1 blockchain built to support the widespread use of blockchain through better technology and user experience.
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:6 releases, 1084 reviews, 118 commits in 6 months
Contributions summary:Balaji primarily contributed to the Aptos core codebase by implementing and modifying the telemetry service. Their work focused on enhancing the telemetry capabilities, including fixing status code checks, passing Git revision information via environment variables, and implementing a web service for telemetry data ingestion. The user also added an endpoint to receive telemetry dumps and dump it to GCP Big Query. Further work included adding a log ingestion endpoint and improvements in error handling, and a code-level change in a dockerfile.
blockchainblockchain-networksmart-contractsaptos
ibalajiarun/f19-5510-hw2

Sep 2019 - Mar 2025

Contributions:12 pushes, 1 branch in 5 years 6 months
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