Michelle Wang

CTO

United States16 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Led AI chip design at NVIDIA.
Optimized large scale distributed systems.
Bridged research and engineering at Google DeepMind.

Stackforce AI infers this person is a leader in AI hardware and software engineering.

Contact

Skills

Core Skills

Ai ArchitectureSystem OptimizationAi Software EngineeringPerformance OptimizationDeep Learning InfrastructureDistributed SystemsMachine Learning SystemsSystem ReliabilityMachine Learning DevelopmentHigh Performance Computing

Other Skills

AI chip compute architecturessystem level software optimizationdeep learning algorithmslarge scale parallel computing platformsAI chip designsoftware optimizationdeep learning integrationAI chip softwarehardware accelerated algorithmsdeep learning platforminfrastructure optimizationdistributed computing systemsmachine learning researchperformance tuningmachine learning platforms

About

I am a senior engineering leader with deep experience across AI platforms, large scale distributed systems, and hardware software co design. I have a proven track record of building and scaling machine learning infrastructure, optimizing performance critical systems, and delivering production ready solutions at global scale. I have led high impact teams at NVIDIA and Google/DeepMind, bridging research, engineering execution, and business objectives.

Experience

Nvidia

2 roles

Senior Engineering Director

Promoted

Jan 2021 – Jan 2024 · 3 yrs · United States

Led cross functional teams in the design of next generation AI chip compute architectures and system level software optimization
Drove deep integration of deep learning algorithms with hardware architectures, improving chip inference efficiency by approximately 20%
Defined core technical standards and engineering development processes, enabling the successful deployment of large scale parallel computing platforms
Partnered closely with product, architecture, and manufacturing teams to align technical roadmaps with business objectives

AI chip compute architecturessystem level software optimizationdeep learning algorithmslarge scale parallel computing platformsAI architecturesystem optimization

Engineering Director

Jan 2018 – Jan 2021 · 3 yrs · United States

Managed AI chip and graphics computing software teams, delivering hardware accelerated algorithms into production
Coordinated performance optimization, validation, and volume production across multiple chip generations
Established cross team collaboration mechanisms to improve development efficiency and delivery reliability

AI chip softwarehardware accelerated algorithmsperformance optimizationAI software engineering

Google deepmind

3 roles

Senior Software Engineering Manager

Promoted

Jan 2013 – Jan 2018 · 5 yrs · United States

Led deep learning platform and infrastructure teams, optimizing training and inference pipelines at scale
Designed and evolved large scale distributed computing system architectures, significantly improving system stability and performance
Supported deployment and scaling of multiple core AI initiatives in production environments

deep learning platforminfrastructure optimizationdistributed computing systemsDeep learning infrastructuredistributed systems

Senior Software Engineer

Promoted

Jan 2010 – Jan 2013 · 3 yrs · United States

Collaborated closely with research scientists to translate cutting edge machine learning research into robust, production ready systems
Drove system reliability, performance tuning, and capacity planning for large scale compute infrastructure
Mentored junior engineers and contributed to engineering best practices, code quality standards, and technical design reviews

machine learning researchsystem reliabilityperformance tuningMachine learning systems

Software Engineer

Jan 2008 – Jan 2010 · 2 yrs · United States

Developed core components of internal machine learning platforms
Optimized neural network training algorithms, improving model training speed and accuracy
Provided high performance computing infrastructure support for multiple AI/ML teams

machine learning platformsneural network traininghigh performance computingMachine learning development