Aditya is a Senior Computer Scientist at Adobe and a seasoned Java developer with experience spanning the Banking and Services domains. Over the years, he has worked with large-scale structured and unstructured datasets, building data ingestion pipelines with Kafka and Spark, and working across the Big Data stack, including Hadoop, Hive, and Pig. His career has been shaped by a consistent focus: building scalable systems that impact business and people.

Aditya’s background in large-scale data systems gives him a practical lens on the token economics and pipeline engineering at the heart of this work. His experience designing ingestion pipelines for heterogeneous, high-volume data sources translates directly to the challenges of managing context windows, selecting the right tool representations, and keeping agentic systems efficient at scale. He brings a systems-level perspective to a problem that many teams are only beginning to confront as they move from prototype agents to production deployments.