Jagmohan Singh is a senior software engineer with a decade of experience building cloud-native observability and infrastructure automation at Adobe, where he designs AI-driven monitoring, alerting, and logging solutions using Kubernetes and Prometheus. He progressed through roles from cloud software engineer to senior engineer across Adobe’s Bay Area teams, bringing deep operational experience from earlier system and security-focused roles at WhiteHat Security and Symantec. His background blends formal software engineering (MCA and a Masters from San Jose State) with applied machine learning training from Udacity, enabling him to marry ML techniques with production observability. Based in San Jose, he knowns how to scale monitoring systems for large distributed environments and often focuses on pragmatic integrations that accelerate incident detection and remediation. A detail that sets him apart is his sustained focus on leveraging AI to reduce alert fatigue while keeping monitoring pipelines robust and Kubernetes-native.
10 years of coding experience
12 years of employment as a software developer
San José State University
Master of Computer Applications (MCA) Computer Software Engineering, Master of Computer Applications (MCA) Computer Software Engineering at Manav Rachna College of Engineering
NanoDegree Deep Learning, NanoDegree Deep Learning at Udacity
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Govt National College Sirsa
Contributions:18 commits, 17 pushes, 1 branch in 11 months
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