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Ashjit engineers distributed systems and cloud infrastructure at JP Morgan Chase, following previous roles at Amazon and Capital One focused on large-scale data processing. Their technical stack spans Python, Java, Go, and C++ development, with implementation experience across AWS, Azure, and Google Cloud platforms. Core projects center on enterprise-level data architecture using Apache Spark and Snowflake. Their work in generative AI and machine learning includes production deployments for financial services and e-commerce applications. Technical contributions focus on scalable analytics pipelines, distributed computing frameworks, and cloud-native architectures. Current research explores applications of transformer models and deep learning systems. Educational technology initiatives include developing open-source learning platforms and computational tools for online education. Infrastructure projects incorporate sustainable computing practices and green data center optimization. Recent work combines cloud computing efficiency with environmental impact reduction in technical operations.