Summary
Elliot Laster is a Staff AI Engineer with 14 years of experience building production-grade AI systems that bridge research and product. He has led end-to-end architectures—from distributed multi-agent orchestrators and custom LLM attention mechanisms to semantic search, retrieval, and learning-to-rank systems—that delivered measurable business outcomes like a $24M uplift in bookings and a 40% reduction in manual interventions. Elliot combines deep systems and data engineering expertise (Postgres migrations, vector indexing, ColBERT-style retrieval) with product sensibility, having driven a SaaS analytics product to $8M ARR and zero downtime over seven years. He’s skilled at making complex models operationally robust, introducing evaluation and experimentation practices that increased throughput by 50x and cutting OPEX by 70% in prior migrations. Based in Charlotte, NC, he pairs technical leadership with uncommon domain breadth—he trained in Grande Cuisine—bringing curiosity and practical craftsmanship to AI-driven products.
14 years of coding experience
10 years of employment as a software developer
Grande Cuisine, Grande Cuisine at International Culinary Center
Johns Hopkins University
Applied Information Technology & Human Factors, Applied Information Technology & Human Factors at University of Baltimore