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hash00x1/README.md

👋 Welcome to my GitHub! 🚀

Hi, I'm Lukas, passionate about applying Data Science, Web3, and Machine Learning to explore decentralized systems. My work centers on understanding governance in Decentralized Autonomous Organizations (DAOs) and leveraging data-driven insights for blockchain innovation.

📖 About Me: I’m a PhD Candidate at the TUM School of Management, Technical University of Munich, and visiting at Department of Engineering, Cambridge University, UK, working at the intersection of AI and Web3.

🔍 Research Interests: Data Science, DAO Governance, Blockchain Analytics, AI and Agents for Decentralized Systems

🌱 Currently Exploring: Agentic Infrastructures, Agents for DAO Governance

🛠️ Skills: Data Science, Machine Learning, Python, R, SQL

🚀 Featured Projects: For now, check out my Semi-Supervised Classifier for Cryptocurrency Price Movements and the langchain-based Base-repo for Complex Agentic Workflows.

🌟 Upcoming Work: In time, I will open source the base-code for Orchestrator framework - developed in collaboration with the University of Cambridge. As well as a fun project framework for multi-agent based crypto trading, inspired by the Trading Agents paper. Stay tuned...

📊 GitHub Stats:

Lukas's GitHub Stats Top Languages

Popular repositories Loading

  1. multi-agent-maze-runner multi-agent-maze-runner Public

    Python 1

  2. coauthor-app coauthor-app Public

    TypeScript 1

  3. Aurora-Engineering-Challenge Aurora-Engineering-Challenge Public

    Coded Response to Aurora Engineering Challenge: https://hackmd.io/@birchmd/Syj4Hkcmc

    Python

  4. Blockchain-Analytics-for-Dummies_RevCode Blockchain-Analytics-for-Dummies_RevCode Public

    This is the updated code for the Book "Blockchain Analytics for Dummies" as the code initially provided with the book will no longer work with the latest/ updated versions of Ganache / Solidity. Bo…

    Python

  5. social-media-power-of-actors-and-movements social-media-power-of-actors-and-movements Public

    Advanced library to implement a Data Processing Pipeline to quantify Social Media Power, as described by Freelon et al. (2018). Uses the nucommit library by chainsawriot.

    R

  6. semi-supervised-crypto-forecasting semi-supervised-crypto-forecasting Public

    Python