Summary
Sayuj Shah is an applied AI and data professional with six years of experience designing production-ready systems that go beyond demos to deliver measurable business impact. He combines a Georgia Tech MS in Computer Science and a dual undergraduate background in MIS and Finance to bridge analytics, automation, and product workflows across telecom, consulting, and startup settings. At UScellular he led a BI platform migration, built automated ETL and JIRA tooling that cut processing time and ticket lifecycle, and presented outcomes to senior engineering leaders. More recently he prototyped agentic AI solutions—like an end-to-end recruiter agent and a Slack engagement agent—that scale expert workflows for small enterprises. Comfortable in SQL, Python, Tableau and orchestration of data pipelines, he’s as comfortable auditing IT controls as shipping agent frameworks—often focusing on durable observability and UX that keeps models useful in production.
5 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor's degree Management Information Systems and Finance, Bachelor's degree Management Information Systems and Finance at UMN Carlson School of Management
English, Gujarati, Spanish, Italian