Summary
Erick Siavichay is a software engineer and Stanford Computer Science senior focused on machine learning engineering and product-facing AI features, with eight years of hands-on experience across startups and enterprise. He currently builds scalable financial services at Capital One while teaching and mentoring over 1,000 students through Inspirit AI, advising project teams that have won competitions and built real-world systems like wildfire detection drones. Past roles include ML and data engineering at Arize AI—where he worked on LLM-based chatbot evaluation using HyDE and retrieval reranking—and recommender systems deployed on AWS at Tagg. Erick’s background spans high-performance computing, large-scale web and mobile frontends, and production ML pipelines, with practical wins like a 56% runtime improvement migrating legacy Python code and a 0.975 R^2 emissions model for WRI. He blends research-minded evaluation techniques with product-first engineering, and is drawn to turning advanced ML into reliable, user-facing features.
8 years of coding experience
4 years of employment as a software developer
Kenwood Academy High School
Dual Enrolled in High School, Concentrated in Mathematics, Dual Enrolled in High School, Concentrated in Mathematics at University of Chicago
Bachelor's degree, Computer Science, Artificial Intelligence, Bachelor's degree, Computer Science, Artificial Intelligence at Stanford University