Full-stack DevOps and Systems Architect with hands-on experience designing production-grade data pipelines, managing cloud-native infrastructure on AWS/GCP, and deploying agentic AI systems. I bridge the gap between complex backend automation and user-facing applications, ensuring high availability, observability, and security at every layer of the stack.
Cloud Infrastructure & DevOps
I provision production environments as code (Terraform/Ansible) and manage CI/CD pipelines (GitHub Actions/GitLab). My experience spans building self-healing Kubernetes clusters, implementing zero-trust network architectures, and optimizing multi-cloud deployments across AWS, Azure, and OCI.
AI & Agentic Systems Engineering
I specialize in building production-ready AI agents using LLM function-calling, context management, and multi-step reasoning. From N8N orchestration to Python-based event-driven automation, I translate manual operational patterns into scalable, automated workflows.
Data Engineering & Observability
I maintain robust ETL/ELT pipelines processing 360,000+ records, backed by SQL (PostgreSQL/SQLite) and full observability (ELK Stack/Prometheus). I prioritize data integrity, real-time event tracking, and pipeline health monitoring to ensure 99.9% operational reliability.
I operate with a data-first approach, treating infrastructure and automation as production-grade software. Reliability, observability, and security are not features—they are the foundation of every deployment.
I eliminate manual configuration through automated provisioning using Terraform and Ansible, ensuring environment standardization and consistency from dev to production.
I build custom event-driven architectures that connect disparate services via REST APIs, webhooks, and AI function-calling, replacing human bottlenecks with high-throughput logic.
Infrastructure is only as good as our ability to monitor it. I integrate ELK, Prometheus, and Grafana into every project to capture, validate, and debug data streams in real-time.