I simplify complex engineering decisions into reliable + secure + cost-efficient systems

✅ Experienced in operating production platform supporting 25–30 engineers with 300–400 deployments annually and >2M daily requests with 99.5%+ availability.
✅ Built AI-assisted incident response and disaster recovery workflows.
👉 Built reusable platform capabilities that improve deployment reliability, accelerate infrastructure provisioning, enhance developer productivity and maintain high availability at scale.

Technical Skills

EKS ECR ECS (Fargate) EC2 (Linux) EBS S3 Lambda CloudWatch

VPC IAM Security Groups HashiCorp Vault ALB

Github Actions ArgoCD

Docker Kubernetes Helm

Terraform

Prometheus Grafana Loki OpenTelemetry

Snyk Trivy Hadolint OWASP ZAP

Python MCP

TheSoul Group | Bengaluru, India (Remote)

May 2025 - Jun 2026

ClickPost | Bengaluru, India

Feb 2023 - May 2025

Built reusable CI/CD and GitOps workflows for 15–20 pipelines, cutting lead time (LT) for changes from days to hrs while keeping change failure rate (CFR) below 15%. The work centered on automated image versioning, health checks, rollout checks and rapid rollback to improve deployment reliability at production scale.
Supported 1–3 daily deployments across 20 workloads by standardizing ingress routing, health probes, rolling updates and runtime configurations. This kept operational readiness aligned with 300–400 annual production deployments.
Improved reliability across 2 clusters by implementing health checks, rollout strategies, Pod Disruption Budgets and automated deployment validation, maintaining 99.5%+ availability.
Automated secret distribution and TLS certificate management across services by integrating HashiCorp Vault into deployment workflows that reduced exposure risk and manual rotation effort.
Contributed to optimizing $10K–$12K/month infrastructure spend through data-retention policies, resource right-sizing and cluster resource tuning while maintaining production availability and performance.

Maintained reusable IaC modules for multi-environment infrastructure to improve consistency and repeatability that contributed to sub-hour environment provisioning time that accelerates team onboarding.
Built an AI-assisted DR Workflow using Claude MCP Server, AWS SDK (Boto3 Python client) to analyze and validate cluster-state backups that saved 7–8 engineering hrs per week.
Built an AI-assisted RCA workflow using Claude MCP Server to analyze production logs, metrics and context of complex P1/P2 production incidents that contributed to sub-hour MTTR.

Partnered with engineering teams to define SLI/SLO targets as per SLA, service health metrics, monitoring and actionable alerting for faster incident detection.
Established security guardrails by implementing SAST, SCA, DAST, IAM least-privilege policies, network policies, continuous logging to support audit readiness and GDPR compliance requirements for engineering teams.

SRM Institute of Science and Technology | Kattankulathur, Chennai, Tamil Nadu, India

June 2018 - May 2022

GPA: 9.01/10