Luis Schmitz
Investor and data scientist focused on analytics, automation and AI
luis-schmitz
San Francisco, California
Joined April 2026
Summary
Combines investment work with technical data science: Luis blends hands-on data science and ML prototyping with early-stage investing, contributing both as a data scientist and as an investor at Headline while writing about agent engineering and economics. headline+2
Interdisciplinary academic foundation: He holds rigorous quantitative training across analytics, economics, and mechanical engineering (UC Berkeley Master of Analytics; B.Sc. in Economics at LMU; B.Sc. in Mechanical Engineering at TUM) and has produced theses and course projects that apply ML to finance and manufacturing. luisschmitz+2
Applied, production-oriented engineering and analytics experience: His internships and roles (Audi production planning, Celonis process mining, analytics apps, and web prototypes) show a focus on turning analytical models into operational process improvements and deployed tooling. luisschmitz+1
Active in the venture community and teaching: Beyond firm roles, he participates in Berkeley venture activities, serves as a graduate student instructor, and documents market and AI-agent research — indicating engagement with both practice and knowledge-sharing. luisschmitz+1
Extracurricular interests reflect strategic, competitive hobbies: Competitive golf, chess, and interactive game projects underscore interests in strategy, competition, and building interactive educational tools. luisschmitz+2
Work
Education
Projects
Writing
AI Agents: Engineering Reality and Investor Perspective
August 1, 2025Essay combining engineering lessons from building an internal market-sizing agent with an investor perspective on economics, unit costs, and diligence for AI agents.
Sequential Deep Learning for VC
May 1, 2025Course project (INDENG 242B) implementing LSTM/Transformer models with fine-tuned BERT embeddings to predict VC outcomes; includes evaluation metrics and deployment notes.
Good, Bad and Complex: Product Design in the Financial Industry
October 1, 2023Bachelor's thesis (LMU Munich) studying how product complexity affects consumer understanding and valuation of financial products, with a focus on structured products.
Cycle Time Prediction in Customer-Individual Production Planning Using Machine Learning
May 1, 2023Bachelor's thesis (TUM) applying machine learning to predict manufacturing cycle times in customer-specific production planning contexts.