Summary
Luis Smith is a senior software engineer in San Francisco with eight years of experience building and productionizing AI-powered systems. At Cleric, he currently serves as Senior Software Engineer, and previously at Gojek led ML pricing initiatives—developing a TensorFlow-based pricing pipeline, a low-latency pricing web service with sub-50 ms SLA, and scaling to 2,000 requests per second while translating government regulations into linear constraints for pricing models. He also led a team of three data scientists to optimize a food-delivery recommendations system that drove 2 million incremental bookings per month and delivered a 15% uplift, backed by a patent. His breadth spans ML engineering, recommender systems, pricing, and AI SRE, with a proven ability to ship production-grade, observable systems from research ideas. He holds an MS in Computer Science from UT Austin and a BA in Economics from Stanford, combining rigorous technical training with business-oriented thinking. Based in the SF Bay Area, he has experience across startups and finance, consistently prioritizing reliability, low latency, and scalable deployments.
8 years of coding experience
Master of Science, Computer Science, 4.00/4.00 GPA, Master of Science, Computer Science, 4.00/4.00 GPA at The University of Texas at Austin
Bachelor of Arts, Economics, 3.83/4.00 GPA, Bachelor of Arts, Economics, 3.83/4.00 GPA at Stanford University
English, Spanish, Portuguese