Ravi K P.

Senior AI/ML Python Data Engineer with 12+ years of experience designing, developing, and supporting enterprise data platforms, AI/ML solutions, and cloud-native applications across the insurance, healthcare, and retail industries. Extensive experience building scalable data engineering solutions that enable advanced analytics, operational reporting, and machine learning initiatives.
Strong expertise in Python, SQL, Apache Spark, Databricks, Snowflake, Airflow, AWS, and Azure for developing and optimizing batch and real-time data pipelines. Experienced in data ingestion, ETL/ELT development, data modeling, workflow orchestration, data validation, and performance tuning to support high-volume enterprise data platforms.
Hands-on experience implementing AI/ML solutions in production, including feature engineering, model deployment, MLOps practices, and Generative AI use cases such as Retrieval-Augmented Generation (RAG), LLM integration, vector databases, and intelligent document processing. Proficient in developing RESTful APIs using FastAPI, containerizing applications with Docker, orchestrating workloads with Kubernetes, and automating deployments through CI/CD pipelines.
Experienced in delivering technology solutions for claims processing, underwriting, healthcare analytics, pharmacy operations, customer insights, fraud detection, and regulatory reporting.