Luis Martinez
As a contract consultant, the approach is designed for speed and adaptability. Clients can expect a balance of strategic direction and hands-on execution — from shaping AI product strategy and managing delivery pipelines to working directly with engineers on models and systems. This blend of product management expertise and technical fluency makes it possible to connect vision with implementation while keeping projects lean, outcome-focused, and aligned with business goals.
Reading The Universe (RTU) extends this work into an open portfolio — documenting ongoing AI engineering projects, Kaggle and competition experiments, and research at the edge of data and product design. It serves as both a portfolio for clients and a public record of how complex ideas are translated into working systems, ensuring that the contracting practice and the portfolio site reinforce one another.
What I Do
Quant Research & Strategy
Design and test systematic trading models, bridging AI and quantitative methods to uncover edges in financial markets.
Product & Project Leadership
Over two decades of experience delivering data-driven products and projects from conception to launch, ensuring measurable outcomes.
Cloud & Infrastructure
Practical experience with AWS and cloud-based quant infrastructure (QuantTraderOS), focused on scalable, broker-agnostic architectures.
AI & Machine Learning
Hands-on development with Python, PyTorch, and modern ML frameworks, applied to real-world datasets and competitions (Kaggle, AIcrowd).
Content & Education
Creator of The Independent Quant and Reading the Universe, translating complex technical material into accessible courses, podcasts, and research.
Writing & Research
Authoring books and essays on systematic trading, AI, and philosophy of probability, with a long-term focus on advancing public knowledge.