Nin Lei

About Nin Lei

Nin drives revenue growth in the Artificial Intelligence (AI) segment by advancing IBM assets into business solutions that meet worldwide customer needs. He is instrumental in expanding the AI share of the Power platform. He designs solutions for enterprise clients encompassing hardware and software, and he advises customers on AI technology. He is well versed in machine learning, deep learning, and computer vision.Nin provides leadership across product development communities on AI value propositions that improve technical content in solutions. He delivers technical guidance in machine learning, deep learning, computer vision, reinforcement learning, and other topics.Nin is recognized as an authority in database technology within IBM and the client community, covering both high end/high volume Online Transaction Processing (OLTP) and Business Analytics/Big Data disciplines. He was a frequent speaker at database and business analytics conferences, and he presented to industry analysts on a regular basis. He has published many IBM redbooks and technical papers, and he holds multiple patents in database technology.Nin possesses deep knowledge of high end online transaction database systems. He has taken part in tens of engagements with clients, holding leadership roles in most cases. His expertise lies in complex transaction systems, where processing spans database servers, application servers, and other middleware. His engagement work results in hundreds of millions of revenue for IBM.Nin has extensive experience in growth market countries. He has traveled many times to Asia assisting clients. He also works with Latin American clients. He leads technology workshop for clients and IBM technical teams.

Experience

1. Distinguished Engineer, Chief Ai Architect, Systems Group

   IBM

   Mar 2017 — Present

   Lead worldwide (North America, Latin America, Asia) client engagements and design AI solutions and infrastructure, resulting in tens of millions of dollars of revenue.Advise clients on AI technologies (machine learning, deep learning, computer vision, Watson) and provide them guidance on using IBM products to develop innovative solutions to increase revenue and reduce cost.Partner with product development groups (mainframe, Power platform) to develop AI strategies and create technical collateral to promote products such as Power AI.Lead technical enablement effort for architects and business partners with the outcome of a more skilled technical community.

Education

• State University of New York at Oneonta

  Bachelor's Degree, Mathematics

  1975 — 1997

• State University of New York at Buffalo

  Bachelor's Degree, Computer Science

  1977 — 1979

Skills

• Aix
• Leadership
• Z/Os
• Soa
• Performance Tuning
• Big Data
• Rexx
• Redis
• Ibm Mainframe
• Os/390
• Database Design
• Disaster Recovery
• Software Development
• Architectures
• Solution Architecture
• Machine Learning
• Business Intelligence
• Sql
• Linux
• Hadoop
• Mongodb
• Mainframe
• High Availability
• Hive
• Etl
• Enterprise Software
• Enterprise Architecture
• Unix
• Data Modeling
• Data Warehousing
• Mvs
• Spark
• Db2
• Architecture
• Cobol
• Application Architecture
• Databases
• Business Analytics
• Websphere
• Middleware