Suyog Rao
Head Of Economic Infra at Vercel
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolSuyog Rao is a seasoned engineering leader with 11+ years building cloud-native infrastructure and usage-based billing systems, now heading Economic Infrastructure at Vercel in San Francisco. He scaled Metronome from a small team to 50+ engineers and grew its event processing from 1k to 100k+ events/sec while helping customers like OpenAI and Databricks adopt usage-based billing. At Elastic he led large full‑stack orgs (~85 engineers) powering Elasticsearch-as-a-Service, billing pipelines that processed ~$500M in Cloud ARR, and an onboarding bootcamp that has trained 1000+ engineers. A pragmatic hands-on manager, he began as an open-source contributor to Logstash—adding Elasticsearch compatibility, ingest tests, and core plugin improvements—bringing deep experience in high-throughput data pipelines. He combines product sensitivity (marketplace and billing) with operational rigor across AWS/GCP/Azure, and often works directly with customer execs during deployments. His background in bioinformatics and early mobile app work reflects a long-standing curiosity for applying engineering to diverse domains.
11 years of coding experience
21 years of employment as a software developer
BE Information Science, BE Information Science at B. M. S. College of EngineeringMS Computer Engineering, MS Computer Engineering at Boston University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
amazon-elasticsearch10
plugin-development10
configuration-management10
elasticsearchquery10
logstash10
aws-elasticsearch10
elasticsearch10
jruby10
elasticsearch-api10
testing9
etl-framework9
integration-testing9
logging9
test-integration9
javas8
Programming languages (8)
Github contributions (5)
logstash-plugins/logstash-output-elasticsearch
Mar 2015 - Dec 2016
Role in this project:
Back-end Developer
Back-end DeveloperContributions:47 commits, 79 PRs, 29 pushes in 1 year 9 months
Contributions summary:Suyog primarily contributed to the Logstash output plugin for Elasticsearch. Their work involved updating the plugin to support newer versions of Elasticsearch, specifically 1.7.0 and 5.0.0-beta1, which included modifying dependencies and configurations. They addressed documentation inconsistencies, removing outdated HTTP references and updating template management guidance. Furthermore, the user added integration tests for the ingest feature and made changes to use debug level logging.
elastic/logstash
Dec 2014 - Sep 2017
Logstash - transport and process your logs, events, or other data
Role in this project:Back-end Developer
Back-end DeveloperContributions:637 commits, 1037 PRs, 451 pushes in 2 years 9 months
Contributions summary:Suyog primarily focused on modifying the Logstash configuration and plugin ecosystem. They made changes to the default plugins, including adding, removing, and modifying the list of plugins packaged with Logstash. The user also addressed bugs and added features related to Logstash's internal workings, specifically regarding configuration, and removing deprecated options. Furthermore, the user contributed to the test suite, adding and updating tests for core components.
eventsstreamingloggingetl-frameworklogstash
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