Senior AI/ML Engineer with 5+ years of experience designing and deploying scalable Machine Learning platforms, real-time AI systems, and cloud-native data solutions across Financial Services and Enterprise Automation domains. Currently building enterprise-grade AI solutions at First Citizens Bank, where I develop real-time fraud detection systems, scalable MLOps pipelines, and distributed data platforms using TensorFlow, Kubeflow, Apache Kafka, AWS SageMaker, and Kubernetes. My work has helped reduce false positives by 15%, improve deployment efficiency, and process large-scale transactional data in real time. Previously worked on AI-driven financial analytics, recommendation engines, NLP applications, and LLM-powered research assistants at Merrill Lynch and Workato — delivering intelligent automation and data-driven insights for enterprise users. 🔧 What I Build: • Scalable AI/ML Platforms & MLOps Pipelines (Kubeflow, MLflow, Airflow) • Real-Time Fraud Detection & Predictive Analytics Systems • NLP Applications, LLM Integrations & Recommendation Engines • Distributed Data Pipelines using Apache Spark, Kafka & Dask • Cloud-Native AI Solutions on AWS & GCP (SageMaker, EKS, Vertex AI, GKE) • Containerized ML Deployments using Docker, Kubernetes & Helm • CI/CD Automation & Infrastructure as Code with Jenkins, Terraform & GitHub Actions I enjoy solving complex engineering problems by combining Machine Learning, Cloud Infrastructure, and Distributed Systems to build secure, scalable, and high-performance AI products. Passionate about Generative AI, MLOps, scalable architecture, and creating intelligent systems that deliver measurable business impact. 🚀