I help banks, fintechs, and enterprises ship production-grade AI and cloud platforms

The Problem

Your organization processes thousands of documents manually. You've seen demos of AI tools, but getting them to work reliably in production — with your security requirements, existing systems, and compliance constraints — is a different story entirely.

The Outcome

A production-grade AI pipeline that actually works: classifying, extracting, and validating documents automatically with human-level accuracy. Integrated with your existing systems (Kafka, Exchange, internal databases), secured to your compliance standards, and scaling to handle your real volumes.

My Approach

• Design multi-stage AI pipelines (classification → extraction → validation)
• Build the complete surrounding architecture — not just API calls
• Implement enterprise security (CMEK, Private Access, IAM, Workload Identity)
• Create reusable, modular components for rapid onboarding of new use cases

The Problem

Your deployments are manual, slow, and error-prone. Infrastructure is configured by hand. Your team spends more time fighting fires than building features. You've heard Kubernetes can help, but the learning curve is steep.

The Outcome

Production-grade Kubernetes clusters with proper networking, autoscaling, and monitoring. All infrastructure codified in Terraform. CI/CD pipelines that your team can actually use. GitOps workflows that make deployments safe and repeatable.

My Approach

• Design cluster architecture with proper networking and security boundaries
• Implement GitOps workflows with Helm and proper secrets management
• Set up comprehensive monitoring with Prometheus and Grafana
• Codify everything in Terraform for repeatability and auditability