AI/ML engineer
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AI/ML & GenAI engineer with 10+ years of experience building production platforms across banking, retail, and healthcare. I specialize in real-time ML systems (Kafka/MSK, Kubernetes/EKS), fraud/risk modeling (XGBoost + explainability), and GenAI investigation/knowledge workflows (LangGraph/LangChain + RAG) with strong governance and security. I've delivered end-to-end pipelines from data ingestion and training to CI/CD, monitoring, and audit-ready controls on AWS, Azure, and GCP, partnering closely with stakeholders to ship solutions that teams trust and use.
First Citizens Bank, North Carolina | AI/ML & Gen AI Engineer | April 2023 – Present
Built a real-time Fraud Detection with GenAI Investigation platform on AWS using Amazon MSK (Kafka) and Amazon EKS. Delivered end-to-end real-time fraud detection using XGBoost classification model, SHAP explainability, LangGraph async GenAI workflows, RAG using Amazon OpenSearch Vector, and Amazon Bedrock (Claude Sonnet) with Guardrails. Managed governed batch training with SageMaker Pipelines/Model Registry, Terraform infrastructure, and GitHub Actions CI/CD.
Publix, Lakeland, FL | AI/ML Engineer | June 2022 – April 2023
Built a Conversational AI platform for retail operations using Azure OpenAI Service, RAG, and Pinecone vector search. Designed multi-turn conversational workflows using Azure Bot Service + LangChain, implemented RBAC-based secure retrieval, evaluation frameworks, observability, and cost optimization for enterprise knowledge workflows.
Indiana University Health, Indiana, US | AI/ML Engineer | Aug 2021 – May 2022
Led end-to-end patient flow analytics and forecasting solution on Google Cloud. Built BigQuery patient-flow data mart and productionized Vertex AI models for next-day occupancy forecasting and discharge-likelihood scoring with HIPAA-aligned security controls.
Muthoot Finance, India | MLOps Engineer | Sep 2018 – Feb 2021
Delivered a production workflow on AWS to train, version, and serve credit risk models. Built Python-based training/scoring pipelines, containerized model inference with Docker, deployed scoring API using FastAPI on ECS, and implemented MLflow for experiment tracking.
Med Space, India | DevOps Engineer | Dec 2017 – Aug 2018
Supported end-to-end releases for a healthcare web application on Linux-based Azure VMs using Azure Pipelines for CI/CD and Docker for packaging and deployments.
HFCL, India | Associate Software Engineer | Nov 2015 – Dec 2017
Developed a Python-based utility to monitor application log files, identify error patterns, and generate summary reports to support troubleshooting and system monitoring.
Bachelor of Engineering, Electronics & Communication | New Horizon College of Engineering | 2015
