DevOps Engineering

I design and implement production-grade DevOps infrastructure. From CI/CD pipelines that deploy 50+ times a day to Kubernetes clusters that handle millions of requests — I build systems that make your engineering team faster and more reliable.

• CI/CD pipeline design (GitHub Actions, GitLab CI, ArgoCD)
• Kubernetes setup & migration (EKS, GKE, AKS)
• Infrastructure as Code (Terraform, Terragrunt, Pulumi)
• Observability stack (Prometheus, Grafana, Datadog)
• Container strategy & Docker optimization
• Secrets management & security hardening

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AI Engineering

I build production AI systems that actually work. Not demos — production RAG pipelines with proper evaluation, LLM integration with caching and fallbacks, and agent orchestration that you can trust in customer-facing scenarios.

• RAG pipeline design (LangChain, LlamaIndex)
• LLM integration (OpenAI, Anthropic, open-source)
• Vector database architecture (Pinecone, pgvector, Weaviate)
• Agent orchestration (LangGraph, CrewAI)
• Prompt engineering & evaluation pipelines
• ML infrastructure & MLOps

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Cloud Architecture

I help companies design and implement cloud architectures that are scalable, secure, and cost-effective. Whether you’re migrating from on-premise, optimizing runaway cloud costs, or designing a disaster recovery strategy.

• Cloud migration planning & execution (AWS, GCP, Azure)
• Multi-cloud & hybrid architecture
• Cost optimization audits & implementation
• Disaster recovery design (RTO/RPO planning)
• Security architecture review & hardening
• Network architecture & service mesh