Wenqi Cao

About Wenqi Cao

Wenqi Cao () has a strong background in computer science system area, both in userspace and OS kernel level. Consistently committing to improving the efficiency of the memory management of memory-intensive applications (Redis and Memcached), memory allocator (jemalloc), virtualization (KVM and Kubernetes), operating system (Linux kernel), and distributed system (memory disaggregation and RDMA connected system).Publications (Google Scholar)https://scholar.google.com/citations?hl=en &

Experience

1. Software Engineer Technical Lead

   Google

   Mar 2022 — Present · Kirkland, WA, US

   ML for ML Compilers- https://research.google/blog/advancements-in-machine-learning-for-machine-learning/ML Compiler Auto-Optimization - https://research.google/pubs/a-flexible-approach-to-autotuning-multi-pass-machine-learning-compilers/MLPerf - https://mlcommons.org/benchmarks/training/Extremely large scale training with multislice TPU (XOR: Accelerate Orchestration)- https://cloud.google.com/blog/products/compute/the-worlds-largest-distributed-llm-training-job-on-tpu-v5e

Education

• Georgia Institute of Technology

  Doctor of Philosophy (Ph.D.), Computer Science

Skills

• Machine Learning
• Linux Kvm
• Information Retrieval
• Distributed Systems
• Computer Science
• Matlab
• Data Mining
• Algorithms
• Memcached
• Programming Languages
• Data Center
• Mcse
• C++
• Kubernetes
• Performance Evaluation
• System Architecture
• Itil
• Docker
• Ccnp Certified
• Redis
• Java
• System Design
• Linux Kernel
• Apache Spark
• Operating Systems
• Python
• Computer Security
• Lucidwork