Summary
Asim Jalis is a Senior Solutions Architect specializing in AI/ML and analytics with 14 years of experience helping media customers turn data into actionable audience insights and engagement strategies. Based in San Francisco, he brings deep hands-on expertise from roles at AWS, Cloudera, Galvanize, and enterprise engineering positions at Microsoft, Symantec, and Salesforce. He combines a strong academic foundation in math, physics, and computer science with practical system design skills—spanning distributed data platforms, Spark/Hadoop ecosystems, and cloud-native ML deployments. Known for translating complex analytics requirements into scalable architectures, he also has a background in technical training and enablement, enabling teams to operationalize models and data products. An unusual strength is his cross-domain fluency from low-level systems and networking to high-level ML strategy, allowing him to bridge engineers, data scientists, and business stakeholders effectively.
14 years of coding experience
12 years of employment as a software developer
MBA, Marketing, MBA, Marketing at University of Washington
PhD Candidate, Mathematics, PhD Candidate, Mathematics at University of Wisconsin-Madison
BA, Math, Physics, Computer Science., BA, Math, Physics, Computer Science. at University of Virginia