Developed and launched programmable wallets as the platform for blockchain-powered experiences

Tech lead on building large-scale data lineage graphs with tens of billions of edges, distributed graph processing pipelines, graph compression techniques, and in-memory graph processing service for an interactive experience.

• Developed efficient and scalable system for data service and pipeline. Lead a cross-team working group to develop an application to predict sparse metrology data using machine learning and deep learning. Familiar with end-to-end machine learning application development: Optimize feature encoding, selection, model training and validation and improved accuracy, deploy continuous retraining to cope with non-stationary data.