Accomplished Machine Learning & Data Engineer with 12+ years of experience in designing, building, and deploying production-grade ML and data systems. Specialized in ETL pipelines, big data processing, MLOps, and ML model deployment at scale across healthcare, finance, and SaaS. Adept at working the full lifecycle from data ingestion and feature engineering to model training, serving, and monitoring. Skilled in leveraging AWS, Azure, GCP, and modern ML frameworks to deliver business-critical insights and AI-powered applications. Recognized for bridging the gap between data engineering and machine learning engineering to create robust, scalable platforms.

alex rodarmel

Accomplished Machine Learning & Data Engineer with 12+ years of experience in designing, building, and deploying production-grade ML and data systems. Specialized in ETL pipelines, big data processing, MLOps, and ML model deployment at scale across healthcare, finance, and SaaS. Adept at working the full lifecycle from data ingestion and feature engineering to model training, serving, and monitoring. Skilled in leveraging AWS, Azure, GCP, and modern ML frameworks to deliver business-critical insights and AI-powered applications. Recognized for bridging the gap between data engineering and machine learning engineering to create robust, scalable platforms.

Available to hire

Accomplished Machine Learning & Data Engineer with 12+ years of experience in designing, building, and deploying production-grade ML and data systems. Specialized in ETL pipelines, big data processing, MLOps, and ML model deployment at scale across healthcare, finance, and SaaS. Adept at working the full lifecycle from data ingestion and feature engineering to model training, serving, and monitoring. Skilled in leveraging AWS, Azure, GCP, and modern ML frameworks to deliver business-critical insights and AI-powered applications. Recognized for bridging the gap between data engineering and machine learning engineering to create robust, scalable platforms.

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