4+ years turning complex data challenges into scalable platforms, production ML pipelines, and high-performance cloud infrastructure.
Previously at
Production ML pipelines with AWS SageMaker, PySpark, and modern frameworks. Time series forecasting, deep learning, and model optimization.
Scalable cloud infrastructure with AWS, Kubernetes, and IaC. High availability, security, and cost optimization for enterprise applications.
Robust ETL/ELT pipelines and real-time analytics. Expertise in PySpark, Kafka, and data quality frameworks for enterprise-scale processing.
Open to discussing data platform architecture, ML implementation, or technical leadership opportunities.