Tao Guo
AI/ML Product Management, Artificial Intelligence & Big Data
- Role
- Lead Product Manager, Ml & Agentic Ai at PayPal
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Tao Guo
Experienced in full-stack AI product management, project management and people management- Experienced in communication and collaboration with scientists, engineers, sales/pre-sales, customers and partners from different countries- Experienced in requirement analysis, operation analysis and business analysis- Experienced in data science, AI modeling, machine learning and cloud native AI solutions- Experienced in multiple domains including growth, compliance, risk, AML, customer service etc- Experienced in solution delivery with solution guide, white paper, presentation and knowledge transfer sessions- Experienced in AI architecture design with Tensorflow, Keras, Wolfram and GPU- Experienced in big data architecture design with batch processing, real-time process, Lambda and Kappa architectures- Experienced in big data applications with Hadoop, NoSQL, Splunk, Kafka, Pivotal and etc- Experienced in cloud platforms like Google Cloud Platform, Amazon Web Service (AWS), Microsoft Azure and K8s- Experienced in infrastructure with EMC storages, VMware virtualization, VCE hyper-converged platform, Dell servers- Experienced in information security and data protection with encryption, authentication, authorization, backup, high availability and disaster recovery- Experienced in programming with C/C++, CUDA (GPU general computing for high performance) and SQL.
Experience
Lead Product Manager, Ml & Agentic Ai
Feb 2022 — Present
Drive product vision and strategy, and create capabilities that data science teams can leverage when building solutions for various PayPal business domains, such as: risk, marketing, sales, customer support, products and more- Represent the product to stakeholders and to peers across PayPal- Evangelize product roadmap internally and externally in informal and formal settings- Work cross-functionally and build strong relationships with key customers (data engineers, software engineers, product analytics and other business teams) that will allow understand gaps and build the right solutions- Define and measure key performance indicators to evaluate and understand product value- Identify new opportunities based on research, industry trends and best practices, driving innovation.
Education
KTH Royal Institute of Technology
International Exchange, Information and Communication Technology (ICT)
2011 — 2012
Tongji University
Bachelor of Engineering - BE, Information Security (Major); Jewelry and Marketing (Minor)
2006 — 2010
Fudan University
Master of Science - MS, Computer Software and Theory (Major); Innovation and Entrepreneurship (Minor)
2010 — 2013
Skills
- Servers
- Cloud Computing
- Management
- Enterprise Software
- Gpu
- San
- Vmware
- Hadoop
- Raid
- Big Data
- Data Center
- Linux Kernel
- Linux
- Customer Experience
- Virtualization
- Jewelry
- Distributed Systems
- C
- Kernel
- Storage
- Tcp/Ip
- Mobile Devices
- Team Management
- Analytics
- Information Security
- File Systems
- E-Commerce
- Nosql
- Python
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