Summary
Christopher Tom is a Solution Architect with 11 years of experience designing Azure cloud and data solutions, now building Fabric and agentic Gen AI systems at IBM. He combines deep Business Intelligence and analytics expertise with hands-on Kubernetes and ML delivery, frequently leading large onshore/offshore teams to execute enterprise-scale projects. Christopher’s background spans industries from defense and entertainment to retail—clients have included Northrup Grumman, Sony, Toyota, Disney, and Dollar General—so he’s practiced at translating complex business needs into practical technical designs. Quick to learn new technologies, he excels at data modeling, predictive analytics, and bespoke integrations that bridge Microsoft stacks, SQL/Oracle databases, and modern cloud-native patterns. His practical bent for pre-sales, mentoring, and process optimization makes him as comfortable pitching solutions as he is delivering them.
11 years of coding experience
7 years of employment as a software developer
ISIS (ISE), Industrial Systems Engineering & Information Systems, ISIS (ISE), Industrial Systems Engineering & Information Systems at University of Southern California