Jayesh Lahori is a software engineer with 12 years of experience building high-throughput observability and infrastructure platforms, currently optimizing hardware efficiency for Facebook microservices in Menlo Park. He has deep hands-on expertise in time-series metric pipelines and alerting systems—at LinkedIn he helped architect a next-gen alerting platform that processed ~800K alert definitions per minute and earlier work correlated millions of metrics and syslogs to form incidents. Fluent in Python and Go and experienced with MySQL, Redis, and Kafka, he focuses on designing systems where performance and high availability are core design principles rather than afterthoughts. Known for turning large-scale telemetry problems into reliable, self-service platforms, he blends pragmatic engineering with an appreciation for resource efficiency at scale.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech, Computuer Science & Engineering, Bachelor of Technology - BTech, Computuer Science & Engineering at International Institute of Information Technology
Secondary School, Secondary School at St Aloysius Sen Sec School - Jabalpur
Contributions:3 PRs, 4 pushes, 1 branch in 3 months
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