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Developing solutions for the future
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Developing solutions for the future

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@christopherqueenconsulting

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gitchrisqueen/README.md

Hi there, I'm Christopher Queen 👋

CEO | AI Consultant | Tech Enthusiast


🧑‍💻 About Me

I'm Christopher Queen, the CEO of Christopher Queen Consulting, where we empower businesses to unlock their full potential through the transformative power of AI. With a deep passion for technology and innovation, I specialize in AI strategy, data analytics, and e-commerce solutions, guiding companies toward success in the digital age.

🔧 Skills & Expertise:

  • AI & Machine Learning: Leveraging AI to drive business growth and efficiency.
  • Data Analytics: Transforming complex data into actionable insights.
  • E-commerce Solutions: Expert in Magento and custom web development.
  • Project Management: Leading successful tech implementations from concept to completion.

🎯 Interests:

  • Programming Languages: Python, Java, PHP, JavaScript
  • Technologies: TensorFlow, Magento, Data Visualization
  • Fields: AI Ethics, Predictive Modeling, Cybersecurity

🚀 Featured Projects

A Python-based automation tool designed to streamline tasks for Central Piedmont Community College (CPCC). This project leverages Selenium WebDriver to automate web interactions, particularly focusing on course-related tasks within the college's systems. Key features include:

  • Automated login and navigation through CPCC's web interfaces
  • Efficient handling of course-related operations
  • Utilization of Selenium WebDriver for robust web automation
  • Implementation of configuration management for flexible usage

This tool demonstrates practical application of Python programming and web automation techniques to enhance educational administrative processes.

A comprehensive trading application that combines multiple components for cryptocurrency market analysis and automated trading. This project integrates various tools and services to create a robust trading ecosystem. Key features include:

  • Integration with the Deribit exchange API for real-time market data and trading
  • Implementation of trading strategies and algorithms
  • Data analysis and visualization capabilities
  • Automated trade execution and management
  • Modular architecture allowing for easy expansion and customization

This application showcases advanced software engineering practices, including system integration, algorithmic trading, and data-driven decision making in the context of cryptocurrency markets

A Python-based WebSocket client for interacting with the Deribit cryptocurrency derivatives exchange API (v2). This project provides a robust and efficient way to connect to Deribit's WebSocket API, enabling real-time data streaming and trading operations. Key features include:

  • Asynchronous WebSocket communication using Python's asyncio library
  • Support for public and authenticated API methods
  • Real-time market data subscription capabilities
  • Efficient handling of API responses and error messages
  • Customizable message handlers for flexible data processing

This client demonstrates advanced Python programming techniques, including asynchronous programming and WebSocket protocol implementation, tailored for cryptocurrency trading applications


🌟 Proud Contributions

I made a significant contribution to the LangChain project by identifying and reporting a critical bug:

  • Discovered an issue in the LangChain Agent's parsing of tool inputs when using alias field names
  • The bug caused filtering out of valid inputs due to mismatches between field names and their aliases
  • Provided a detailed bug report with system information, code examples, and expected behavior
  • Demonstrated the issue's impact on the _parse_input function in langchain_core/tools.py

This contribution highlights my ability to identify complex issues in open-source frameworks and provide comprehensive bug reports, contributing to the improvement of LangChain's functionality and reliability.


📫 How to Reach Me


📝 Blog & Articles

I occasionally write about AI, technology, and my experiences in the field. Check out some of my articles:


🎸 Fun Facts

  • 🎶 Guitar Virtuoso: When I'm not coding, you can find me strumming away on my guitar, trying to nail that perfect riff.
  • 🎱 Pool Shark: Challenge me to a game of billiards, and you'll see why they call me the "cue-ball commander"!
  • 🐠 Reef Wrangler: I keep a saltwater aquarium, where I manage my own little underwater kingdom—complete with colorful corals and curious fish.

👥 Let’s Connect!

I'm always open to collaboration, discussions, and new opportunities. Feel free to connect with me, explore my work, or just say hi!

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  1. cpcc_task_automation Public

    A multi-page Streamlit app showcasing generative AI uses cases with LangChain, OpenAI, and others to help automate task for instructors at CPCC.

    Python

  2. graphstorm Public

    Distributed Graph Analytics on HPC Clusters

    Python

  3. Secur-o-aMA Public

    An innovative cybersecurity project leveraging the power of Meta’s LLaMA models

    Python

  4. Auto-GPT Public

    Forked from Significant-Gravitas/AutoGPT

    An experimental open-source attempt to make GPT-4 fully autonomous.

    JavaScript

  5. usemotion-api-client Public

    A TypeScript-based API client for interacting with the Usemotion API

    Python

  6. deribit-v2-ws-gitchrisqueen Public

    Deribit V2 API WS RPC wrapper.

    JavaScript

804 contributions in the last year

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Loading A graph representing gitchrisqueen's contributions from April 07, 2024 to April 10, 2025. The contributions are 90% commits, 10% issues, 0% pull requests, 0% code review.   Code review 10% Issues   Pull requests 90% Commits

Contribution activity

April 2025

2 contributions in private repositories Apr 6 – Apr 7
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