Balaji S Prabakaran

• ● Delivered AI platforms supporting 10+ enterprise use cases across multiple business units and regulatory functions.

• ● Defined AI platform strategy and roadmap for enterprise clients, aligning AI initiatives with business KPIs, regulatory requirements, and digital transformation goals.

• ● Sovereign AI-Powered Financial Crime & AML Intelligence Platform

Summary: Architected a governance-compliant, multi-tenant AI platform for financial crime detection with built-in model auditability, explainability, and regulatory alignment. Designed for hybrid and sovereign cloud environments with strict data residency and auditability requirements. Tech Stack & Architecture Highlights: Azure (primary cloud), Kubernetes, Python, PyTorch, Vector Databases, Event-driven microservices, REST APIs, RBAC, MLflow, Prometheus/Grafana, Terraform-Terragrunt, Secure CI/CD pipelines, Distributed GPU inference.

• ● Platform (Insurance)

Summary: Led the modernization of insurance claims and customer lifecycle systems into an AI-enabled microservices architecture supporting document intelligence, fraud scoring, and workflow automation. Reduced processing latency and improved risk classification accuracy. Tech Stack & Architecture Highlights: Azure Kubernetes Service (AKS), Event-driven microservices, Python ML pipelines, TensorFlow/JAX, API Gateway, Oracle/MySQL backend, Serverless integrations, CI/CD automation, Model monitoring & evaluation framework, Secure API integration with policy & payment systems.