Deekshith Sanem

Contributed to JDK 7 → 17 migration for 8+ backend services, tuning garbage collection and heap settings to reduce GC pause times by ~30% and improve stability under peak internal workloads. Built internal automation tools using FastAPI and Python for log analysis and reporting workflows used by 200+ operations/compliance users, reducing manual effort by ~25%. Streamlined CI/CD workflows for Dockerized applications on Kubernetes, reducing deployment time from ~45 minutes to under 10 minutes across supported environments. Investigated production issues in distributed systems using Splunk and AppDynamics, improving incident triage and helping maintain 99%+ SLA availability for critical services. Optimized PostgreSQL and MongoDB queries for reporting endpoints, reducing average API response times from ~800 ms to ~350 ms through indexing and query tuning.

Refactored Java Spring Boot microservices and tuned JVM settings (heap sizing, thread pools), reducing API response time by 35% and improving production stability by 15% through optimized memory management. Designed and implemented modular Java service layers using Spring Boot, applying SOLID principles and dependency injection to improve maintainability and testability across microservices. Designed Generative AI-driven automation pipelines to transform Jenkins shell scripts into Harness-compatible YAML, reducing manual CI/CD migration effort by 70%. Contributed in migration of 1,800+ enterprise pipelines from AWS to GCP, containerizing workloads with Docker and deploying to GKE, achieving 99.9% uptime. Provisioned Kubernetes clusters and VPC networking using Terraform, reducing environment setup time to 30-40 minutes. Optimized Cloud SQL and BigQuery workflows through schema tuning and query optimization, reducing execution latency by 30%. Implemented structured logging and alerting

Optimized PostgreSQL schemas across 10+ tables by designing indexes and tuning SQL queries, improving latency and concurrent transaction throughput. Containerized backend services using Docker and deployed to GCP GKE, reducing environment provisioning time from hours to minutes. Resolved production incidents through ServiceNow and Jira within Agile/Scrum sprints, performing root-cause analysis via backend tracing and automating diagnostics with Python scripts, reducing MTTR by 35%. Developed 60+ unit and integration tests using JUnit and integrated them into CI pipelines, improving release stability and preventing regressions.