Shri Javadekar
Senior Director Of Engineering at PayJoy
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolShri Javadekar is a senior engineering leader with 11+ years of experience building cloud-native, data-intensive and ML infrastructure, now serving as Senior Director of Engineering in the San Francisco Bay Area. He has scaled platforms from core virtualization at VMware to MLOps and managed Kubernetes systems at startups and as a co-founder, blending deep systems engineering with product and go-to-market responsibilities. Shri’s hands-on background spans low-level virtualization and replay-debugging to modern container orchestration and ML workflows, and he has contributed backend and DevOps improvements to notable open-source projects like argoproj/argo-events. Known for hiring and mentoring strong teams, he also runs developer-facing initiatives—meetups, webinars and technical sales pitches—that bridge engineering and customer outcomes. His career reflects a rare mix of infrastructure craftsmanship and startup product strategy, grounded in an MS in Computer Science from Stony Brook.
10 years of coding experience
19 years of employment as a software developer
BE Computer Engineering, BE Computer Engineering at Pune UniversityMaster of Science (MS) Computer Science, Master of Science (MS) Computer Science at Stony Brook University
Stackoverflow
317reputation
19kreached
4answers
9questions
Github Skills (22)
kubernetes10
workflow-engine10
go10
workflow-automation10
trigger10
kubernetes-pods10
argo-workflows10
automation-framework10
yaml9
event-driven9
docker8
cicd8
dockers8
cloudevents7
kubebuilder6
Programming languages (6)
Github contributions (5)
argoproj/argo-events
Jun 2018 - Aug 2018
Event-driven Automation Framework for Kubernetes
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:14 commits, 22 PRs, 6 pushes in 1 month
Contributions summary:Shri primarily contributed to the project by implementing features and making configurations. They added the ability to configure the `imagePullPolicy` for executors. The user also upgraded code-gen and resolved related code issues. Furthermore, they added support for inline and URL artifacts, and added the verifycert argument to URL trigger sources. Additionally, they made a change to execute the filterData only if data filter is specified.
cloudeventsframeworkevent-driven-automationkubernetesautomation
keikoproj/minion-manager
Jun 2018 - May 2020
Intelligent use of Spot Instances in Kubernetes
Contributions:2 releases, 1 review, 40 commits in 1 year 11 months
instancesspot-instancesspotkubernetesintelligent
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