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Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

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umwelt/README.md

Hi there 👋

I'm Hugo, a technical founder and systems architect working across Web3, AI, and mobile ecosystems.

Founder of KODE and BOGOWI, I design and deploy interoperable systems that connect on-chain assets, local networks, and real-world use cases.
My focus is on architecture, governance, and applied decentralization — building systems that are technically sound and socially relevant.

⚙️ Core Domains

🧩 Web3 & System Architecture

  • Architect of the BOGOWI Ecosystem on the Camino Network, integrating NFTs, loyalty tokens (BOGO), and DAO-driven conservation funding.
  • Smart contract design for compliant real-world token flows and interoperable multi-contract systems.
  • Definition of wallet SDKs, node orchestration, and off-chain API bridges.
  • Data architecture for hybrid on/off-chain environments and traceable event streams.

🤖 AI & Knowledge Infrastructure

  • Design of Retrieval-Augmented Fine-Tuning (RAFT) pipelines for contextual AI systems.
  • Implementation of semantic data layers and text-to-SQL interfaces for verifiable decision support.
  • Focus on AI transparency, data provenance, and graph-based retrieval in decentralized settings.

📱 Mobile & Frontend Systems

  • Direction and architecture for cross-platform wallet apps built in React Native with native iOS/Android modules.
  • Integration of blockchain identity, credential storage, and local-first UX principles.
  • Experience with secure persistence, offline data sync, and modular API design.

🌐 BLE & IoT Networks

  • Creator of BOGOWI_BLE, a distributed Bluetooth beacon network linking cultural landmarks to digital interaction.
  • Combining 3D-printed enclosures, BLE payload design, and geospatial event routing.
  • Focus on low-power networking and decentralized data collection.

🧭 Current Focus

  • Governance and coordination models for DAO-based conservation.
  • Multi-chain interoperability and cross-network wallet integration.
  • AI-driven infrastructure for decentralized ecosystems.
  • Application of graph theory and topology to consensus and network routing.

🧠 Stack (Directional Overview)

Languages: Solidity, Swift, Kotlin, TypeScript, Python, Rust (learning)
Frameworks: React, React Native, Node.js, GraphQL, Hardhat, Ethers.js
Infrastructure: AWS, Docker, Serverless, Camino Nodes
Testing: Gherkin (Given-When-Then), Jest, Chai

🎶 Beyond Code

Jazz drummer, baroque guitarist, and sailor-in-training — exploring how rhythm, systems, and navigation follow the same logic of coherence and balance.

📫 Contact

Pinned Loading

  1. suggested-notation-for-machine-learning suggested-notation-for-machine-learning Public

    Forked from mazhengcn/suggested-notation-for-machine-learning

    This introduces a suggestion of mathematical notation protocol for machine learning.

    TeX