Suyog Soti is a software engineer with a decade of experience building reliable, production-grade systems across startups and major cloud providers from Oakland, CA. He’s driven by systems-level problems—distributed tracing, service provisioning, and scalable backends—and has contributed tracing enhancements to Azure’s Python SDK and influenced OpenTelemetry strategy at Microsoft. At Google he led Service Provisioning to dramatically improve provisioning latency and reliability, helping prevent outages and increase SLOs to five nines. As a founding engineer at Stitchflow he owned backend architecture, event-driven integrations, and operational concerns like rate limiting and Kubernetes automation. Currently at Databricks, he blends startup ownership with cloud-scale engineering rigor, favoring observable, resilient systems. Collected research and open-source work show a recurring focus on tracing, performance, and turning complex infrastructure into dependable developer-facing services.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Mathematics and Computer Science, Bachelor of Applied Science (B.A.Sc.), Mathematics and Computer Science at University of Colorado Boulder
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Role in this project:
Back-end Developer
Contributions:35 commits, 51 PRs, 32 pushes in 1 month
Contributions summary:Suyog contributed significantly to the Azure SDK for Python, focusing on implementing and modifying core tracing functionalities. Their work involved adding features such as context management for traces and abstract span implementations. Furthermore, the user added OpenCensus implementations, including decorators and policies, for distributed tracing, showcasing their expertise in integrating tracing libraries. These changes provided increased performance and enhanced monitoring capabilities within the SDK.
Contributions:97 pushes, 1 branch in 5 years 11 months
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