Michelle Tandya
Software Engineer at Google
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolMichelle Tandya is a software engineer with 11 years of experience building reliable, cloud-native systems and production tooling from the Greater Seattle Area. Currently at Google after several years at Expedia Group, she specializes in DevOps and node-level infrastructure for Kubernetes, with notable open-source contributions improving Windows node health checks, Defender integration, and logging across the kubernetes and node-problem-detector projects. She blends systems-level attention to detail with practical operational improvements—optimizing uptime calculations, CRI-CTL paths, and kube-env logging—to make Windows Kubernetes environments more robust. A University of Washington computer science graduate and former TA, she pairs strong academic foundations with hands-on engineering across large-scale platforms.
11 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, 3.61, Bachelor’s Degree, Computer Science, 3.61 at University of Washington
Github Skills (13)
windows10
cnc10
health-check10
powershell10
kubernetes10
container10
docker10
go10
devops10
dockers10
kubernetes-pods10
system-administration8
cicd7
Programming languages (3)
Github contributions (5)
kubernetes/node-problem-detector
Mar 2021 - Sep 2021
This is a place for various problem detectors running on the Kubernetes nodes.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:29 reviews, 14 commits, 15 PRs in 5 months
Contributions summary:Michelle focused on improving the health checking functionality within the Kubernetes node problem detector. Their work involved separating health checker implementations for Linux and Windows, adding health checks for kube-proxy, and introducing a custom plugin for Windows Defender threat detection. Furthermore, the user updated the CRI-CTL path and optimized the uptime calculation in the Windows health checker, improving the efficiency of the overall system health monitoring.
placepythonnodesmachine-learningdetectors
kubernetes/kubernetes
Feb 2021 - Oct 2021
Production-Grade Container Scheduling and Management
Role in this project:DevOps Engineer
DevOps EngineerContributions:5 reviews, 5 commits, 4 PRs in 8 months
Contributions summary:Michelle primarily focuses on Windows Defender configuration and Node Problem Detector (NPD) updates within the Kubernetes project, specifically related to Windows node setups. They implemented logging for Defender preferences and updated NPD versions, including changes to related configuration files. The contributions also include adjusting kube-env variable logging. Their work appears to involve improving the functionality of Kubernetes on Windows environments.
containersschedulingdockergradeproduction-grade
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