Zeeeepa · GitHub
Skip to content
View Zeeeepa's full-sized avatar

Block or report Zeeeepa

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Zeeeepa/README.md

👾 Hey, my name is Luke

Agentic System Architect | Analysis Framework Modeler | AI Systems Engineer


Designing intelligent systems that bridge AI, automation, code analysis and structured reasoning


🔹 Core Expertise

Architecting Intelligence

AI agents are more than just prompts and responses—they require structured reasoning, modular execution, and real-time adaptability. My focus is on designing scalable, interpretable, and modular AI architectures that can dynamically retrieve, process, and act on information.

🔹 Multi-Agent Architectures – Building intelligent, cooperative agents with dynamic workflows
🔹 Graph-Based AI – Leveraging structured data to improve reasoning and context understanding
🔹 RAG Pipelines & Knowledge Retrieval – Optimizing AI workflows for efficiency and accuracy
🔹 Autonomous Decision Systems – Integrating real-time adaptation and policy-based execution

Quantitative & Computational Modeling

AI isn't just about language—it's about pattern recognition, probabilistic modeling, and structured intelligence. My work integrates quantitative finance, computational models, and AI-driven decision systems to optimize real-world applications.

📊 Stochastic & Algorithmic Models – Applying ML to financial markets, simulations, and predictive modeling
📈 Time Series Forecasting – Building statistical & deep learning models for market predictions
Risk & Portfolio Optimization – Designing AI-driven investment strategies
🔢 Probabilistic Graph Models – Structuring uncertainty for AI decision-making


🛠 Technology Arsenal

Core Technologies
🤖 AI & Machine Learning Ecosystem

Frameworks & Libraries

LangChain LangGraph TensorFlow PyTorch Scikit-Learn Hugging Face

LLM Providers & AI Platforms

OpenAI Anthropic

Vector Databases & RAG

Pinecone Chroma Weaviate FAISS

📊 Data Science & Scientific Computing

Data Processing & Analysis

Pandas NumPy SciPy SymPy

Interactive Computing

Jupyter

⚡ Backend & API Development

Core Frameworks

Python FastAPI Flask Pydantic

🎨 Frontend & User Experience

Modern Web Stack

TypeScript React Next.js Vite

Desktop Applications

Tauri

Web Automation & Testing

Playwright Selenium BeautifulSoup

🗄️ Data Infrastructure & Storage

Databases

PostgreSQL Redis Supabase

Cloud & Infrastructure

Docker Linux

🔧 DevOps & Development Tools

Version Control & CI/CD

Git GitHub GitLab GitHub Actions

Package Management

Poetry uv pnpm Hatch

Code Quality & Testing

pytest Ruff Black pre-commit Trunk

Documentation & Templates

Sphinx Jinja2 Copier Commitizen


🎯 Core Expertise Areas

AI

🤖 AI Agents

Multi-agent architectures with dynamic workflows and structured reasoning

Quant

📊 Quantitative

ML-driven financial modeling and algorithmic trading strategies

Graph

🔗 Graph AI

Knowledge graphs and RAG pipeline optimization

Autonomous

⚡ Autonomous

Real-time decision systems with uncertainty modeling


📊 GitHub Analytics Dashboard

🏆 Profile Stats

Comprehensive GitHub Stats GitHub Trophies

⚡ Contribution Graph

Activity Graph

🌊 Activity Heatmap

github contribution grid snake animation

🚀 Featured Projects & Research

Showcasing innovation across AI agents, knowledge systems, and quantitative modeling

Featured Projects

📌 Pinned Repositories

Project Description Tech Stack Status
Haive Modular AI Agent Framework
Scalable intelligence with dynamic workflows and structured reasoning
LangChain Python FastAPI 🟢 Active
FLSTAESR Automated RAG Pipeline
Advanced retrieval-augmented generation with knowledge graph construction
Graph AI Vector DB ML 🟡 Development
Quant AI Quantitative AI Systems
Probabilistic forecasting and portfolio optimization for financial markets
Python Statistics Finance 🟢 Active

🌐 Connect & Collaborate

Website LinkedIn X Email

💭 Philosophy

"Tools shape thought. Build tools worth thinking with."


Profile Views

📝 Configuration Notes

Metrics Configuration:

  • Auto-updates every 12 hours via .github/workflows/metrics.yml
  • Includes: lines of code, languages, activity, habits, achievements
  • Theme: Consistent purple (#A855F7) across all elements

Visual Assets Organization:

  • images/banners/ - Header and section banners
  • images/badges/ - Custom badges and shields
  • images/stats/ - Statistical visualizations
  • images/dividers/ - Section separators and decorative elements

Color Palette:

  • Primary: #A855F7 (Purple)
  • Secondary: #8B5CF6 (Lighter Purple)
  • Accent: #A7F3D0 (Mint Green)
  • Background: #0D1117 (Dark)
  • Text: #E9D5FF (Light Purple)

Pinned Loading

  1. NPM NPM Public

    NPM - discovery

    TypeScript

  2. analyzer analyzer Public

    analyzer

    Python 1 2