Eugenio Noyola Leon (Keno Leon) Software Engineer • AI/ML Engineer • Quant Systems Developer me@k3no.com • https://k3no.com • https://linkedin.com/in/kenoleon • https://github.com/KenoLeon Mexico City • Remote SUMMARY Software, AI/ML, and quantitative systems engineer: Python, LLM evaluation and tooling, live ML forecasting (Numerai, since 2017), and published technical writing (200+ articles, 4 books). Timeline of public output by domain: - 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: 200+ published articles, 4 books, 43 public repositories, 100+ ML models, and weekly live ML scoring with real financial stakes since 2017. EXPERIENCE Independent AI / Quant Systems Builder — k3no.com 2010 – Present - Founded the Synthetic Cognition Lab (2026, https://kenoleon.github.io/synthetic-cognition-lab/): open, reproducible experiments on cognitive behaviors in AI models, each shipped with runnable code and a browser bench. First report, Gravity from Touch, published on Zenodo (doi:10.5281/zenodo.23654739): in a physics simulation where the right answer is known, one LLM read surface forces correctly ~86% of the time but answered ~28% of questions touch couldn't answer instead of declining - ADIA Lab Structural Break Challenge: Real-Time Edition (CrunchDAO, 2026): time-series change-point detection; public TS-AUC 55.0 → 63.37 via per-series whitening, Bayesian change-point evidence, and train/serve parity gating; best rank 85/747, final 117/810 - Published EpisodicRAG: A Controlled Interference Benchmark and a Diagnosed Retrieval Bottleneck in Graph RAG on Zenodo (2026, https://zenodo.org/records/21924967): a controlled benchmark for episodic-memory retrieval and a diagnosis of where graph RAG retrieval breaks down - Sustained live production ML scoring in the Numerai quant tournament since 2017 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), Context-Kit (LLM workflow context framework), and Context Pad (Markdown reader and scratchpad for LLM workflows) - 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 companion GitHub repository - Built the Quant Matters YouTube channel (https://www.youtube.com/@QuantMatters) 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 - Full-stack MVP development for BWire (social network), product research and tech packs for Biopac Systems, CMS development for Halmstrom Design, SEO and lead generation for Potrero Media - 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 SKILLS - Programming: Python, JavaScript, Solidity - AI / ML: LLM evaluation, Benchmark design, LLM tooling, TensorFlow/Keras, ML pipelines, Forecasting systems, Time-series change-point detection, OpenCV, PyAudio, FFT signal processing, Cognitive architecture research - Quant & Finance: Quantitative backtesting, Systematic trading infrastructure, Financial modeling - Web & Blockchain: Three.js, Web3.js, Hardhat, Ethereum systems, Developer tooling - Communication: Technical writing - Spoken languages: English (native/bilingual), Spanish (native), Italian (conversational) 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 - 200+ published articles (1.1M+ views on Medium); ~930k Stack Overflow reach - 43 public repositories spanning AI systems, quant infrastructure, Ethereum tooling, and neuroscience-grounded software - Live Numerai ML competition participation since 2017 - 100+ ML forecasting and regression models built - Published Solidity and neural network books before mainstream adoption cycles - Nearly 30 years of 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 Study Ongoing research in machine learning, quantitative finance, AI architecture, neuroscience, forecasting systems, and industrial design