Summary
Johann Lee is a Machine Learning Engineer with 11 years of experience building search, recommendation, and AI-driven analytics tools that reduce repetitive work and scale insights. Currently at Adobe, he develops AI platforms for marketing and go-to-market operations and previously shipped ML personalization and analytics agents. His research background spans synthetic reasoning and evaluation datasets (ICLR/ICML work) from Cornell, where he also taught large ML courses and led student projects like a PDF search engine. Johann bridges research and product with hands-on expertise in low-cost LLM finetuning, evaluation, and inference optimization from industry and investment-analytics roles. He combines practical engineering—full-stack ML systems and NLP/OCR pipelines—with a creative side shown in algorithmic art and kinetic-sculpture projects. Outside work he stays active playing tennis, skiing, longboarding, and frequenting museums, reflecting a balanced mix of curiosity and discipline.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Science and Economics, Bachelor's degree Computer Science and Economics at Cornell University
The Lawrenceville School
Dual Enrollment, Dual Enrollment at Princeton University