Chetan Gowda
Software Engineer at Temporal Technologies
Fremont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChetan Gowda is a seasoned software engineer with 11 years of experience building high-impact backend systems, currently working at Temporal after a long tenure at Bolt where he progressed from early engineer to Senior Staff and led a 17-person team. He specializes in systems-level languages and backend services—C, C++, PHP, JavaScript and Go—and has deep experience fighting spam and abuse from his early work on Facebook’s Site Integrity team. Chetan has designed and owned features across payments, fraud detection, auth/session management and async job frameworks, and contributes to notable open-source projects like Temporal and Machinery, improving robustness and observability in distributed services. Based in Fremont, California, he pairs hands-on coding with operational rigor and a track record of hardening production systems against edge failures and security pitfalls.
11 years of coding experience
17 years of employment as a software developer
Bachelor in Engineeering Information Technology, Bachelor in Engineeering Information Technology at Visvesvaraya Technological University
English, Hindi
Github Skills (22)
back-end-development10
microservices-application10
distributed-systems10
workflow-engine10
amazon-dynamodb10
workflow-automation10
go10
dynamodb10
aws10
golang10
task-queue10
orchestration10
microservices10
backend10
testing9
Programming languages (7)
Github contributions (5)
temporalio/temporal
Mar 2024 - Apr 2025
Temporal service
Role in this project:
Back-end Developer
Back-end DeveloperContributions:131 reviews, 102 PRs, 193 pushes in 1 year
Contributions summary:Chetan primarily contributed to fixing typos, removing unused functions, adding sampled logging, and implementing features related to activity and workflow management within the Temporal service. These changes involved modifications to API definitions, configuration files, and core service logic, with a focus on improving debugging capabilities and enhancing the system's functionality. The contributions also included bumping the API version and addressing code vulnerabilities by protecting against potential panics.
service-busmicroservice-orchestrationworkflow-automationworkflow-enginedocker
RichardKnop/machinery
Apr 2020 - May 2020
Machinery is an asynchronous task queue/job queue based on distributed message passing.
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 commits, 7 PRs, 11 comments in 1 month
Contributions summary:Chetan primarily focused on enhancing the DynamoDB backend implementation within the machinery project. Their contributions include implementing strongly consistent reads, improving error messages, and adding support for `ResultsExpiresIn`. They also added batch fetching capabilities for task states, and improved the overall robustness of the DynamoDB integration, notably by addressing chord callback triggers. These changes demonstrate a deep understanding of the backend infrastructure.
jobmessage-passingmongodbmachinerymemcached
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.