Hey there!

I’m glad you’re here. By the way, some friends call me Rah. I’m at the intersection of technology and human expertise, applying technical know-how to build what’s useful while applying physical experience, discernment, and emotional intelligence. When not doing those things, I’m likely doing research, flying aircraft (really flying, not relying on autopilot) or something creative.

One of my favorite quotes is by Laozi or Lao-Tzu, the founder of Taoism:

“A leader is best when people barely know he exists, not so good when people obey and acclaim him, worse when they despise him. But of a good leader who talks little when his work is done, his aim fulfilled, they will say: We did it ourselves.”

My favorite books are those I’ve recently read (some more than once):

2026
: A Hacker’s Mind: How the Powerful Bend Society’s Rules, and How to Bend them Back (Bruce Schneier); Le Pouvoir Des Geeks: Comment a contre-culture est devenue une arme politique (Damien Leloup); How to Listen When Markets Speak: Risks, Myths, and Investment Opportunities in a Radically Reshaped Economy (Lawrence G. McDonald); MoneyGPT: AI and the Threat to the Global Economy (James Rickards); The Big Short: Inside the Doomsday Machine (Audiobook - Michael Lewis); The Sovereign Individual: Mastering the Transition to the Information Age (James Dale Davidson & Lord William Rees-Mogg); The Network State (Balaji Srinivasan); The New China Playbook: Beyond Socialism and Capitalism (Keyu Jin); Secrets & Lies: Digital Security in a Networked World (Bruce Schneier)

2025
: Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG (Louis-Francois Bouchard); How Countries Go Broke: The Big Cyle (Ray Dalio); Principles for Dealing with The Changing World Order: Why Nations Succeed and Fail (Ray Dalio); Teach Yourself Electricity and Electronics (Stan Gibilisco and Simon Monk); The Business of Television (Ken Basin); The Human Use of Human Beings: Cybernetics and Society (Norbert Weiner)

2024
: Age of Revolutions: Progress and Backlash from 1600 to the Present (Fareed Zakaria); Cybersecurity Attacks - Red Team Strategies (Johann Rehberger); Everything is Predictable: How Bayesian Statistics Explain the World (Tom Chivers); In This Economy? How Money & Markets Really Work (Kyla Scanlon); 1Q84 (Haruki Murakami); Mathematica: A Secret World of Intuition and Curiosity (David Bessis, translated by Kevin Frey); Math For Security: From Graphs and Geometry to Spatial Analysis (Daniel Reilly); The Psychology of Money: Timeless Lessons on Wealth, Greed, and Happiness (Morgan Housel); Why Machines Learn: The Elegant Math Behind Modern AI (Anil Ananthaswamy)

Good Reads: Teach Yourself Electricity and Electronics (Stan Gibilisco and Simon Monk); Design and Analysis of Cryptographic Algorithms in Blockchain (Ke Huang, Yi Mu, Fatemeh Rezaeibagha and Xiaosong Zhang); A Tour of the Calculus (David Berlinski); AI 2041 (Kai-Fu Lee & Chen Qiufan); Weapons of Math Destructiun (Cathy O’Neil); Artificial Unintelligence, How Computers Misunderstand the World (Meredith Broussard); Life 3.0, Being Human in the Age of Artificial Intelligence (Mark Tegmark); How Emotions Are Made: The Secret Life of the Brain (Dr. Lisa Feldman Barrett); Neuromancer (William Gibson); Connectography, Move and The Future is Asian (Parag Khanna); The Business of Television (Ken Basin); The Government Machine: A Revolutionary History of the Computer (Jon Agar); The Hollywood Economist: The Hidden Financial Reality Behind the Movies (Edward Jay Epstein); Big Mind: How Collective Intelligence Can Change Our World (Geoff Mulgan); The Source of Self-Regard (Toni Morrison); Girl, Woman, Other (Bernardine Evaristo)

Fun facts: I curate learning for application and prioritise just-in-time training to quickly get up to speed. Travel and speaking in non-native languages are also great teachers.

Education and credentials:
: Towards AI Academy, Full Stack AI Engineering Credential; Nvidia via Black Hat Machine Learning Credential; UC San DiegoX via EDX, MicroMasters® Data Science Credential; Udacity Blockchain Nanodegree, Blockchain Developer Credential; Microsoft Azure AI Engineer Credential; Roosevelt University USA, Bachelors of Professional Studies, Organizational Leadership, Economics (B.P.S); Roosevelt University USA, Masters of Arts, Training and Development, E-Learning (M.A.T.D)

Many thanks to Chris McKenzie and Max Le Fou for their work on the BOOSTRA.386 theme- the inspiration for this simple, evolving website.

“The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn.” Alvin Tofﬂer

I’m wisdom-tooling™ knowledge work for creative industries and building blockchain/AI solutions. Request a demo, schedule a call or send an email to info at neuzida.io.

Me - Mon, Jul 11, 2022

Hey there!

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