ML compiler optimization and performance analysis.

Develop machine learning research concepts into scalable, modular, robust, performant, stable, and secure production systems. Assess and validate cutting edge machine learning tools and techniques.

Part of the fast moving software path-finding team tasked with creating and driving innovative software solutions for Intel's business primarily in the server and cloud.Contributing software optimization patches to the opensource (TensorFlow, Eigen) as well as internal software tools leveraging expertise in algorithm development as well as computer architecture.

Research and development of software tools for overcoming process technology challenges that gate the progress of Moore's Law using advanced algorithmic and computational methods.Delivered end-to-end solutions to complex engineering and scientific problems starting from identifying requirements, developing mathematical models and required optimization setup, demonstrating working prototypes, all the way up to development and deployment of software tools in Intel's production environment… Show more Research and development of software tools for overcoming process technology challenges that gate the progress of Moore's Law using advanced algorithmic and computational methods.Delivered end-to-end solutions to complex engineering and scientific problems starting from identifying requirements, developing mathematical models and required optimization setup, demonstrating working prototypes, all the way up to development and deployment of software tools in Intel's production environment, and the subsequent releases and support. Show less

Was involved in the development of SpyGlass, a predictive analyzer for Register Transfer Level (RTL) code designed to catch various structural, coding and consistency problems early at RTL design phase by performing advanced static and dynamic checks.