Security automation, multi-cloud architecture, Kubernetes, and observability engagements - each told as a story of the problem, the approach, and the measurable impact. Every fact here comes from real, shipped work.
Security shifted left into every pipeline, without slowing delivery.
Security checks lived at the end of the release cycle, surfacing vulnerabilities late and slowing every deployment while teams scrambled to remediate.
Embedded automated SAST/DAST and dependency scanning (Snyk, OWASP ZAP) directly into Jenkins and GitLab CI pipelines, with policy gates, automated remediation guidance, and compliance evidence captured on every build.
40% reduction in security vulnerabilities
Repeatable, secure infrastructure across AWS, Azure, and GCP.
Manual, drift-prone provisioning across three clouds made environments inconsistent, slow to stand up, and hard to audit for compliance.
Built a modular Terraform and Ansible platform with reusable modules, remote state, and policy-as-code — codifying highly available, secure landing zones across AWS, Azure, and GCP.
50% less manual configuration effort
Production-grade EKS with least-privilege access by default.
Containerized workloads needed a secure, scalable orchestration platform with tight access control and reliable uptime under real traffic.
Designed and operated an Amazon EKS platform with hardened RBAC, network policies, and CI/CD-driven deployments — backed by Prometheus and CloudWatch observability for proactive incident response.
99.99% application uptime
Full-stack visibility that turns incidents into fast, calm recoveries.
Limited visibility meant issues were detected late, root-cause analysis dragged, and downtime ate into reliability targets.
Implemented comprehensive monitoring, logging, and alerting with Prometheus, Grafana, the ELK Stack, and Datadog — with actionable dashboards and runbooks that streamlined incident response and root-cause analysis.
35% faster incident response times