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Senior AI/ML Engineer – GenAI & MLOps
Senior AI Platform Engineer at EY, shipping production LLM and RAG systems with repeatable CI/CD on AWS and Azure.
United StatesSenior AI/ML Engineer – GenAI & MLOps at EY (Vanguard)
Ran production LLM + RAG serving on AWS Bedrock and Azure OpenAI with autoscaling and caching for concurrent enterprise traffic. Built containerized CI/CD and observability for latency, token cost, drift, and quality.
LLMRAGAWSAzure OpenAIKubernetesDockerCI CDObservabilityPythonfastAPISQLBASHREST APIsMicroservices
Master of Science in Computer Science from First Capital University.
Owned Kubernetes/EKS inference endpoints for federal LLM/RAG services with 99.8%+ uptime. Automated validation-to-serving and monitoring, cutting model release cycles from days to hours.
KubernetesAmazon EKSLLMRAGOpenSearchRBACEncryptionFedRAMPAlertingOn CallHPAModel Serving
Ran AWS EKS for containerized AI/ML services, focusing on reliability, scaling, and performance tuning. Designed secure CI/CD for training and inference, reducing deploy time from days to under 24 hours.
AWSAmazon EKSKubernetesCI CDIAMSecrets ManagementIncident ManagementRCADashboardingPerformance Optimization
Deployed Python/FastAPI ML microservices in a HIPAA-regulated environment with containerized cloud deployment and monitoring. Built data ingestion and feature-preprocessing pipelines for real-time inference.
PythonfastAPIDockerHIPAAcloud deploymentMonitoringData PipelinesMicroservicesOn call Support
Built Python and SQL tooling for data and ML workflows across staging and production. Supported versioned promotion of model artifacts and operational scripting for release automation.
PythonSQLData EngineeringMachine Learning WorkflowsRelease AutomationScripting
Profile sourced from Himalayas.