Pd

Philippe d'Argent

Principal Consultant (AI & Web3)

Physics Ph.D. with 9+ years of experience analyzing petabyte-scale datasets and building advanced machine learning models. Consulting on innovative solutions at the intersection of AI and blockchain technology for secure and automated digital asset management, trading and payments for clients such as Coinbase. Base Ambassador supporting the growth of the Base ecosystem through community building and technical mentorship.

Core Competencies

Generative AI & LLMsWeb3 & Blockchain IntegrationLarge-Scale Data AnalysisMLOps & AutomationPythonTypeScriptNext.jsSolidity

Services

Core offerings at the intersection of AI and Web3

AI Agents

Designing workflows for custom AI agents with real-time, specialized knowledge bases and blockchain capabilities.

Custom ML & Data Solutions

Architecting sophisticated data pipelines and machine learning models to solve complex analytical challenges.

Scientific & Technical Evaluation

Feasibility studies, performance analysis and threat modeling for AI and Web3 systems.

Portfolio

Recent work and projects

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Coinbase Developer Platform

Engineered core features and integrated contributions from industry partners like AWS and the community for CDP AgentKit, an open-source framework enabling AI agents with blockchain capabilities, powering over 20k agents with $30M+ in assets.

PythonTypeScriptAI AgentsWeb3
Base MCP: Onchain Tools for LLMs

Model Context Protocol (MCP) server providing real-time blockchain data and analytics for AI agents, winning a Base Builder Quest award for its innovation.

MCPBlock explorerLLMs
Automaton

AI companion automating recurring onchain tasks with delegated spending permissions.

AI automationCDP AgentKitDeFi
CoinJam

Social-feed embedded web app for collaborative generative art creation through secret prompt fragments.

Generative ArtFarcasterNext.js
TrueCast

Real-time news aggregator and fact checker with x402 protected endpoint for agent to agent communication.

x402APIA2A
Pingulino

ML app to practice correct Mandarin Chinese tone pronunciation achieving >99.9% accuracy with fine-tuned Transformer model.

TensorFlowPyTorchHuggingFace

Recent Publications

Latest research and academic publications

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