Keno Leon EARLY-OPERATIONALIZER AI Systems - Quant Finance - Forecasting - Python - Ethereum Infrastructure [me@k3no.com](mailto:me@k3no.com) - k3no.com - linkedin.com/in/kenoleon - github.com/KenoLeon Mexico City - Remote POSITIONING Frontier AI and quantitative systems builder with a 30-year implementation history spanning machine learning, systematic trading, Ethereum infrastructure, developer tooling, and neuroscience-grounded software research. Repeatedly entered emerging technical domains before mainstream adoption and produced operational public artifacts: * Ethereum developer tooling in 2017 * Live ML forecasting systems in Numerai since 2017 * Cognitive architecture research in 2018 * LLM workflow tooling in 2023 Output across that period includes: 195 published technical articles, 4 books, 39 public repositories, 100+ ML models, and nine years of weekly live ML scoring with real financial stakes. WHAT I BRING * Build AI and quantitative systems from research concept to operational implementation * Prototype quickly under ambiguity with minimal management overhead * Develop forecasting, backtesting, and systematic trading pipelines grounded in real deployment conditions * Evaluate AI hype cycles with practical skepticism informed by live ML competition and market exposure * Translate complex technical systems into scalable educational infrastructure — articles, documentation, tutorials, and developer-facing communication * Operate independently across multiple parallel technical workstreams * Bridge research thinking, engineering implementation, and market-oriented execution * Explain technical systems clearly to both technical and non-technical stakeholders EXPERIENCE Independent AI / Quant Systems Builder — k3no.com 2010 – Present * Sustained nine years of live production ML scoring in the Numerai quant tournament using 100+ regression and forecasting models with real financial exposure * Built systematic trading and market-analysis infrastructure for Binance and Polymarket workflows including backtesting, forecasting, and automation pipelines * Developed and shipped LLM tooling products including BubbleUI (local-first multi-model LLM interface with context injection) and Context-Kit (LLM workflow context framework) * Contracted directly by Numerai for frontend development and technical documentation * Conducted neuroscience-grounded cognitive architecture research across a 22-part article series, published book, and multiple runnable Python implementations * Built experimental AI systems including NeuronPlayground, STMToWM, and crowcrow, a parametric articulatory speech synthesizer based on vocal tract physics * Produced an early Ethereum onboarding ecosystem including a published Solidity book, 12-part technical series, smart contract security forensics, ERC20 infrastructure examples, and a 43-star GitHub repository * Built the Quant Matters YouTube channel focused on quantitative finance, forecasting systems, market structure, and ML-first trading approaches Front End / Web Developer & Designer — k3no.com (US clients) 2003 – 2010 * Delivered frontend engineering, UI/UX, and product consulting for agencies and startups across California * Built MVPs, CMS systems, SEO infrastructure, research pipelines, and web applications for media, biotech, and digital product clients * Worked across frontend architecture, branding systems, interaction design, and early-stage technical product development Junior Research Assistant / Analyst — ING Barings 1997 – 2000 * Rotated across equities research, trading desk operations, money markets, risk, compliance, and back office functions * Built internal bond market analytical tooling that became the foundation for later quantitative finance and forecasting work * Developed institutional finance literacy across trading operations, market structure, and financial systems analysis TECHNICAL STACK Python, JavaScript, Solidity, TensorFlow/Keras, OpenCV, Three.js, Web3.js, Hardhat, PyAudio, FFT signal processing, ML pipelines, forecasting systems, quantitative backtesting, systematic trading infrastructure, LLM tooling, developer tooling, Ethereum systems, financial modeling, technical writing, cognitive architecture research SELECTED PUBLICATIONS * Continuity — 2026 Foundational Edition (2026) * Conscious Artificial Intelligence: Part 1. Foundations (2018) * Ethereum, Tokens & Smart Contracts (2017) * Making a Simple Neural Network: An Illustrated Guide (2017) SELECTED SIGNALS * 195 published technical articles with hundreds of thousands of reads * 39 public repositories spanning AI systems, quant infrastructure, Ethereum tooling, and neuroscience-grounded software * 9 years of live Numerai ML competition participation * 100+ ML forecasting and regression models built * 43-star Ethereum developer tooling repository * Published Solidity and neural network books before mainstream adoption cycles * 30-year cross-domain implementation history spanning finance, software systems, AI, and technical education EDUCATION ITAM (Instituto Tecnológico Autónomo de México) Economics (incomplete), 1993–1995 AMIB (Asociación Mexicana de Intermediarios Bursátiles) Securities & Investment Certificate, 1999 Self-directed ongoing research in machine learning, quantitative finance, AI architecture, neuroscience, forecasting systems, and industrial design