Avinash Swaminathan is a software engineer based in Seattle with 8 years of experience building scalable, distributed systems for observability and reporting at companies like HubSpot and Atlassian. He designs and implements low-latency, highly reliable pipelines and monitoring tools that serve thousands of customers and reduce alert noise and support incidents. A Georgia Tech MS in Computer Science (Computing Systems) graduate, he blends academic rigor with practical system-building—having led a 99.99% SLA event-sourcing pipeline and improved observability and security posture across microservices. He’s contributed to open-source projects such as OpenMined’s PySyft, focusing on backend quality and documentation, reflecting a commitment to maintainable code. Avinash also has research experience in NLP with publications at EMNLP/AACL-IJCNLP, showing a breadth that spans production infrastructure to machine learning research. He’s particularly effective at translating resilience and monitoring needs into production-grade APIs and operational practices that scale.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Information Technology, 9.15, Bachelor of Engineering - BE, Information Technology, 9.15 at Netaji Subhas Institute of Technology
Master's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at Georgia Institute of Technology
96.4%(12th),10 CGPA(10th), 96.4%(12th),10 CGPA(10th) at Delhi Public School - R. K. Puram
Perform data science on data that remains in someone else's server
Role in this project:
Backend Developer
Contributions:29 commits, 10 PRs, 29 comments in 1 month
Contributions summary:Avinash's commits primarily focus on fixing Darglint errors and improving the code documentation within the `pysyft` repository. They addressed documentation issues in `src/syft/utils.py` and `src/syft/core/common/object.py` by correcting errors identified by Darglint. Additionally, the user made a merge to update documentation in `tests/syft/lib/torch/module_test.py`. These changes indicate a focus on code quality and maintainability within the backend.
A library for answering questions using data you cannot see
Contributions:20 PRs, 50 pushes, 12 branches in 3 months
python2pythonansweringpython3
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Avinash Swaminathan - Software Engineer at HubSpot