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Mattbusel/README.md

I'm Matthew Charles Busel

About Me I'm a multi-disciplinary technologist driven by curiosity, bold ideas, and a deep belief in what software can become when fused with cutting-edge science. With a background rooted in Python, machine learning, and backend development, I specialize in turning speculative concepts into tangible code—whether it’s designing cognitive engines, quantum neural nets, or exploring bio-AI interfaces using mycelium.

My work spans across the frontier of AI/ML, quantum cognition, and computational biology, and I’m actively building tools, prototypes, and frameworks that challenge the limits of current hardware and software paradigms.

Featured Projects Quantum Neural Network Model A speculative AI model inspired by quantum mechanics, designed to accelerate learning via quantum parallelism. Stack: Python, Qiskit, NumPy → View Repo

Mycelium-Based AI Integration Explores the fusion of synthetic biology and AI, using mycelium as a biocomputational substrate. Stack: Python, BioPython, Raspberry Pi → View Repo

SEC Filing Analyzer Tool ML pipeline for detecting financial anomalies and forecasting market shifts from SEC filings. Stack: Python, Pandas, Scikit-learn, Flask → View Repo

Context-First AGI: Cognitive Context Engine A new AGI architecture focusing on context and long-term reasoning, diverging from traditional token-based LLMs. Stack: Python, Transformers → View Repo

Project JarvisBox Voice-activated AI assistant prototype integrating LLMs with hardware. Stack: Python, PyTorch, Whisper, OpenAI API → View Repo

Core Skills & Specializations Languages: Python, HTML/CSS, JavaScript

Frameworks: Flask, FastAPI, HuggingFace Transformers

AI/ML: Scikit-learn, TensorFlow, PyTorch, Prompt Engineering, LangChain

Quantum: IBM Qiskit (Beginner+)

Special Interests: Synthetic Biology + AI, Quantum Cognition, AGI Architecture, Real-Time Financial Forecasting

Dev Tools: Git, Docker, Linux, APIs, Cloud Functions

Let’s Build Something Got a wild idea? Want to jam on AI, synthetic biology, or future cognition? Reach out.

Email: mattbusel@gmail.com LinkedIn: matthewbusel

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  1. Every-Other-Token Every-Other-Token Public

    A real-time LLM stream interceptor for token-level interaction research

    Rust 14 1

  2. LLM-Hallucination-Detection-Script LLM-Hallucination-Detection-Script Public

    A comprehensive toolkit for detecting potential hallucinations in LLM responses. Compatible with any LLM API (OpenAI, Anthropic, local models, etc.)

    Rust 10

  3. llm_affector llm_affector Public

    An async Rust library for LLM-based content analysis, providing hallucination detection and code critique functionality. Built with Tokio for high-performance concurrent operations.

    Rust 2

  4. tokio-prompt-orchestrator tokio-prompt-orchestrator Public

    Multi-core, Tokio-native orchestration for LLM pipelines.

  5. FinRL_DeepSeek_Crypto_Trading FinRL_DeepSeek_Crypto_Trading Public

    This repository contains our solution to Task 1 of the FinRL Contest 2025: developing a high-performance crypto trading agent using reinforcement learning and LLM-derived market signals.

    Python 3

  6. Quantum-Neural-Network-Model-The-Future-of-AI-Cognition Quantum-Neural-Network-Model-The-Future-of-AI-Cognition Public

    Quantum computing is revolutionizing the way we think about processing power. Now, imagine applying the principles of quantum mechanics to a neural network—one that mimics and accelerates human cog…

    Python 4 1