Designed queue (SQS) based implementation for asynchronous task processing leading to increase in ~50% faster execution times
Enhanced log data ingestion kafka based micro-service, reducing error rates by 135% and enabling scalable weekly ingestion increase from 500TB to 2PB
Spearheaded projects on large-scale analytics platform, utilizing Trino, S3, and batch ETLs to achieve sub-second query response times on massive datasets
Successfully led the platform implementation of multiple backend services from physical servers to Kubernetes, achieving 4 9's of availability from 2 9's and scaling with P95 response time below 500ms
Pioneered Service Level Objectives and Signals, onboarding 5000 internal services at Salesforce, improving availability, reporting, and reducing toil for developers
Software Engineer
Intel Corp.
Santa Clara, CA
08.2015 - 08.2017
Improved overall performance of critical benchmark data processing backend service by 20%, reducing transaction latency and improving overall system performance
Improved TTR from 3 hours to 30 minutes by developing real-time monitoring dashboards and bringing down TTD by 30%
Designed and implemented modular microservices architecture for internal data reviewing platform, facilitating seamless scalability and accommodating 3x increase in benchmark score computations