Mohammed Adnan Y

– Optimized 10+ Go microservices for HPE GreenLake Storage by implementing worker-pool concurrency, increasing API throughput in the BFF layer by 25% while maintaining sub-second P99 latency. – Built and tuned key components of a Kafka-based telemetry pipeline, optimizing topic partitioning and consumer groups to reliably process 1M+ daily storage events into an S3-backed data lake. – Improved PostgreSQL performance for data lineage analysis by implementing composite indexes and materialized views over ETL outputs, reducing complex dashboard query latency by 40%. – Improved service reliability by implementing Prometheus metrics and Grafana dashboards on AWS EKS for observability, and introducing API contract tests in CI/CD pipelines, increasing validation coverage by 45%. – Developed Python automation services in the Morpheus (PCBE) platform to orchestrate cloud lifecycle workflows across GCP and Azure, reducing manual provisioning effort by 35% through CI/CD-driven integrations.

– Developed backend modules for Bixby AIOps workflows within the Voice Intelligence team, improving service reliability by introducing automated tests that increased code coverage from 72% to 90%. – Analyzed production failure logs using Python and Pandas to identify high-frequency error patterns, contributing to backend fixes that reduced service downtime by 15%.