Summary
Rashid Lasker is a Member of Technical Staff based in San Francisco with 10 years of software engineering experience focused on building production-ready systems and AI tooling. He has driven high-impact projects at Scale AI—leading generative-AI labeling interfaces and pipeline migrations that dramatically reduced consistency errors—and served as a founding engineer at an AI-native observability startup. Rashid blends full-stack product sensibility with data-driven rigor, owning data quality operations for strategic customers like Microsoft and OpenAI and designing novel labeling systems for MOS ranking, e-commerce, and audio transcription. His background includes systems work in C++/gRPC for 3D map history at Uber and teaching large-scale internet applications and computer architecture at UVA, highlighting both practical engineering and mentorship. Now at xAI, he continues to bridge research-grade models and production pipelines, with a knack for turning messy data workflows into auditable, scalable products.
10 years of coding experience
5 years of employment as a software developer
Thomas Jefferson High School for Science and Technology
Bachelor’s Degree Computer Science & Cognitive Science, Bachelor’s Degree Computer Science & Cognitive Science at University of Virginia
French, Bengali, English