Optimized JDK/JVM using Intel’s new instructions: optimized random number generators, AES encryption/decryption algorithms, hash functions, math functions, memory barrier function to enhance the performance by up to many folds

Leading a technical path-finding team to develop innovative and integrated software/middleware/firmware solutions for server, PC, and IoT platforms; Exploring utilizing machine learning, AI, and data analytics to enhance platform performance and capabilities; Engaged with OEMs and ISVs to gather requirements and market Intel solutions; Managing capability access lab where we perform competitive analysis and showcase Intel solutions to customers

Responsible for designing and developing many projects including: multi-tenant management system, fine-grained realtime resource metering and management system, revamped legacy WorkStream FAB management system, performance optimizations, etc. In collaboration with major customers around the world

Developed highly scalable grid computing system consisting of tens of thousands of servers to share compute resources

Responsible for designing and tuning very large chip database for optimization and verification, and designing and implementing Intel’s manufacturing and logistics database system for managing WW orders, inventories, distribution centers, FABs, assembly and test facilities.