Summary
Aleksandr Novak is a Senior AI Frameworks Engineer with a decade of hands-on experience building and optimizing neural network compilers and backends, currently driving AI performance work at Intel in Dublin. He combines deep C/C++ and Go expertise with systems-level insight to deliver quantization, fusion, and tiling optimizations that doubled performance and halved memory for key models and enabled next-generation Meteor Lake and Lunar Lake silicon. Aleksandr has led compiler redesigns to MLIR-based architectures, authored enablement tooling and SDKs that sped integrations and reduced response times, and organized cross-team performance initiatives to close systemic gaps. He blends rigorous academic training in mathematics and computer science with a pragmatic focus on maintainable code, architecture decisions, and cross-functional collaboration, and often acts as the bridge between emulator, hardware and software teams to translate device constraints into measurable software wins.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
English, Russian