William Gleim

AI, Machine Learning & Blockchain Security Expert

Pioneering AI-driven solutions in quantitative finance, privacy-enhanced collaborative AI, and blockchain security with a focus on innovation and secure system design.

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About Me

I am a technology leader specializing in artificial intelligence, machine learning, and blockchain security. With advanced degrees in Computer Science and Computational Neuroscience, I have founded and led multiple innovative ventures at the intersection of AI, privacy, and secure systems.

My work spans from developing AI-driven quantitative finance trading systems to creating privacy-enhanced collaborative AI solutions for healthcare, and pioneering smart contract security research. I hold multiple patents in secure content delivery and have contributed to foundational work in enterprise blockchain adoption.

Professional Experience

CEO, ConfigSecretAI

Mutant DeFi

San Diego, CA

  • Developed and implemented time-series machine learning and large language model (LLM) AI for quantitative finance currency trading
  • Designed and deployed AI-driven finance trade execution engine to optimize trading strategies
  • Led strategic development of agents for automated currency trading systems

Chief Technology Officer

Equideum Health - Private Collaborative AI

  • Spun out R&D lab from ConsenSys, focusing on privacy-enhanced collaborative AI for hospitals and medical research institutes
  • Led development of privacy-by-design healthcare solutions to ensure secure data handling and compliance
  • Implemented cutting-edge privacy technologies for sensitive medical data processing

Security Researcher & Developer

ConsenSys Diligence & Enterprise Ethereum Alliance

  • Co-founded ConsenSys Diligence and the establishment of the Enterprise Ethereum Alliance
  • Specialized in identifying and mitigating smart contract attack vectors
  • Established the first R&D lab within ConsenSys to drive innovation in compute privacy with blockchain technology

Founder & Lead

Google, Commercial Black-Hat Lab

  • Founded and led a lab focused on developing security platforms and intellectual property for embedded communication systems
  • Spearheaded black-hat initiatives to enhance security for communication technologies
  • Developed innovative security solutions for next-generation communication platforms

Researcher

Salk Institute & Rady Children's Hospital

  • Conducted comparative research on childhood learning processes and AI learning methodologies
  • Ensured secure data privacy and computational integrity in sensitive medical research environments
  • Published research on cognitive science applications to artificial intelligence

Education

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Master of Science

Computer Science

University of Colorado, Boulder

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Master of Science

Computational Neuroscience & Cognitive Science

University of California, San Diego

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Bachelor of Science

Cognitive Science

University of California, San Diego

Skills & Expertise

🤖

Machine Learning & AI

Collaborative Retrieval-Augmented Generation (RAG), agent-based AI, quantitative finance currency-trading, time-series analysis, LLM integration

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Security

Smart contract attack vector analysis, privacy-enhanced systems, computational security, black-hat security testing, secure data handling

⛓️

Blockchain

Enterprise blockchain adoption, privacy-by-design healthcare solutions, smart contract development, Ethereum ecosystem expertise

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Programming

Python, TypeScript, Solidity, machine learning frameworks, distributed systems, API development

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Research

Financial machine learning models, AI-driven research, computational privacy, cognitive science applications to AI

Patents

US 20110150214

Coordinated Viewing Experience Among Remotely Located Users

Developed method for secure content delivery, ensuring synchronized rendering of encrypted content across devices using session and content keys, with access restricted by content rights.

Co-inventor: Petr Peterka

US 20110119743

Communication of Content to Event Attendees

Created method for enrolling and authenticating event attendees to deliver content securely to mobile devices, utilizing device identifiers and entitlement credentials.

Co-inventors: Ambikacharan Makam, Geetha Mangalore, Petr Peterka

Get in Touch

I'm always interested in discussing new opportunities, collaborations, or innovations in AI, blockchain, and secure systems.

📱 Phone: (858) 205-3039
📍 Location: San Diego, CA
💼 LinkedIn: linkedin.com/in/williamgleim
𝕏 X (Twitter): @billgleim