Summary
Sameer Shukla is a Director of Data and AI Architecture with 11+ years driving production-grade data engineering, applied AI, and distributed system solutions across finance, healthcare, and enterprise software. He designs and optimizes large-scale customer-360, identity-matching, semantic search, and ML platforms using Snowflake, PySpark, AWS (Lambda, Glue, DynamoDB, OpenSearch) and Cortex AI, with a focus on fault tolerance and performance at scale. His hands-on work spans building vector-embedding pipelines, confidence scoring and intelligent automation, and delivering Snowflake- and AWS-powered analytics that reliably operate in production. A published author on PySpark optimization and an active contributor to the global Python and data engineering community, he mentors engineers and reviews proposals for major Python conferences. Based in Irving, Texas, he combines applied AI research in healthcare with pragmatic architecture leadership, translating complex algorithms into operational systems that measurably impact business outcomes.
11 years of coding experience
17 years of employment as a software developer
Bengaluru University
Bachelor of Commerce and Computers, Bachelor of Commerce and Computers at Barkatullah Vishwavidyalaya