Platform Engineer and AI enthusiast with 5 years of experience in Cloud, Microservices, Linux, and Kubernetes.
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💼 I'm a DevOps Engineer, experience in Linux, Kubernetes, cloud infrastructure, microservices and automation
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⚙️ I regularly build automation solutions to reduce manual work and improve operational efficiency
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🚀 I'm passionate about solving infrastructure challenges and delivering reliable, secure, and scalable solutions
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🧠 Currently learning Machine Learning, MLOps, model training, and production AI systems
- Built & operated production Kubernetes platforms on GCP and DigitalOcean — 99%+ availability, seamless scaling through traffic spikes
- Built an AI-powered Kubernetes assistant (LangChainGo, OpenAI, Streamlit) — cut platform-team dependency
- Established GitOps with FluxCD — cut manual deployment activity ~70%, improved consistency
- Scaled a microservices-based SaaS platform on Kubernetes — supported customer interactions via resilient, horizontally-scalable architecture
- Built a Golang custom domain management platform — streamlined customer onboarding, reduced config effort
- Automated build/test/release with GitHub Actions — cut manual release times by 80%
- Used KEDA for intelligent autoscaling — optimized infra cost
- Built observability & alerting (Grafana, Prometheus, Alertmanager, Sentry) — caught incidents before customer impact
- Contributed on building enterprise-grade CI/CD with GitHub Actions — cut release cycles ~75%
- Ran production workloads on GKE — 99%+ availability through high-traffic periods
- Established GitOps with FluxCD — cut manual deployment overhead ~70%, improved consistency & auditability
- Standardized Kubernetes app lifecycle with Helm — faster environment provisioning
- Automated config & infra management with Ansible & Terraform — cut manual config errors ~80%
- Increased platform security with WAF & secret management — reduced risk, improved compliance
- On-call participation, incident response & postmortems — cut MTTR ~80% via better monitoring & runbooks
- Monitored & optimized infra/apps (CloudWatch, Prometheus, Grafana, New Relic, Sentry) — improved availability, error tracking
- Designed & ran highly available Kubernetes clusters on AWS EKS — zero-downtime deploys, robust auto-recovery
- Containerized & migrated Laravel/Python apps to Docker/Kubernetes — improved scalability & maintainability
- Tuned NGINX & OS/kernel params, backed by load testing — boosted performance
- Automated deployments with GitHub Actions; managed AWS via Terraform
- Built infra automation & serverless functions in Bash/Python, including AWS Lambda
- Partnered with dev & QA teams — kept platform reliable for millions of users
