Interactive architecture explorer

CI/CD and GitOps platform

Enterprise delivery platform combining Jenkins, GitHub Actions, Azure DevOps, ArgoCD, Terraform, and Artifactory.

Components: Git, CI Engines, Artifactory, ArgoCD, Kubernetes

Tradeoffs: Balanced delivery speed, operational control, and governance using the listed toolchain.

DevSecOps and observability control loop

Integrated pipeline quality/security gates with runtime observability and remediation for high-uptime platforms.

Components: Build, SonarQube, Snyk / Aqua, Deploy, Observability, Response

Tradeoffs: Balanced delivery speed, operational control, and governance using the listed toolchain.

Outcome: Maintained 99.99% uptime using Prometheus, Azure Monitor, Grafana, and SLO/SLA dashboards with proactive remediation automation.

AI initiatives: RAG and agentic orchestration

LLM-enabled architecture using LangChain, Claude/OpenAI APIs, MCP context injection, and multi-agent execution paths.

Components: Query, LLM Router, RAG, MCP Context, Agentic Pipeline, Outcome

Tradeoffs: Balanced delivery speed, operational control, and governance using the listed toolchain.

Outcome: Led enterprise AI programs across retail and fintech, integrating Claude/OpenAI-powered assistants to reduce manual query handling by 60%.

Data quality and DataOps validation chain

Great Expectations and PySpark validation gates with automated testing across unit, integration, and end-to-end pipeline stages.

Components: Ingest, Validation, Testing, SLA Outcome

Tradeoffs: Balanced delivery speed, operational control, and governance using the listed toolchain.

Outcome: Implemented data quality gates with Great Expectations and custom PySpark checks, maintaining 99.9% data accuracy SLAs across business-critical datasets.