🤖 AI & Machine Learning¶
This collection showcases my work in artificial intelligence and machine learning, spanning from experimental prototypes to production-ready applications.
🧠 AI Agents & Frameworks¶
agents¶
LangGraph-based Intelligent Agents
A comprehensive proof-of-concept implementation using LangGraph for building sophisticated AI agents capable of complex reasoning and task execution.
- Tech Stack: Python, LangGraph, LangChain
- Features: Multi-agent coordination, tool usage, state management
- Status: Active Development
- Stars: ⭐ 4 | Forks: 🍴 1
langraph¶
LangGraph Experiments
Hands-on experimentation with LangGraph framework for building stateful, multi-actor applications with large language models.
- Tech Stack: Jupyter Notebook, Python, LangGraph
- Features: Graph-based agent workflows, state persistence
- Status: Experimental
- Stars: ⭐ 1
agent_code_generator¶
AI-Powered Code Generation
Generate code from file context and natural language queries using advanced AI models.
- Tech Stack: Python, OpenAI API
- Features: Context-aware generation, file analysis
- Status: Stable
- License: MIT
💬 Conversational AI & RAG Systems¶
rag_chat_opensource_llm¶
Open Source RAG Chatbot
A production-ready retrieval-augmented generation chatbot using open-source large language models.
- Tech Stack: Python, Streamlit, Vector Databases
- Features: Document ingestion, semantic search, conversational memory
- Status: Active
- Stars: ⭐ 2
ai-pdf-chat¶
AI PDF Interaction System
Interactive chat interface for querying and analyzing PDF documents using AI.
- Tech Stack: Python, PDF processing, NLP
- Features: PDF parsing, intelligent Q&A, document summarization
- Status: Early Development
rag_chat_poc 🔒¶
RAG Research & Development
Advanced experimentation with retrieval-augmented generation techniques based on custom document collections.
- Tech Stack: Jupyter Notebook, Python, Vector Stores
- Features: Custom embeddings, advanced retrieval strategies
- Status: Research Phase
- Visibility: Private
🖼️ Computer Vision & Media Processing¶
picture-search-poc¶
Intelligent Image Search
Proof-of-concept for semantic image search and analysis using computer vision techniques.
- Tech Stack: Python, Computer Vision APIs
- Features: Image embeddings, visual similarity search
- Status: Prototype
- Stars: ⭐ 1
🏢 Enterprise AI Solutions¶
focused 🔒¶
GenAI Focus Group Application
Enterprise-focused generative AI application for organizational use cases and focus group analysis.
- Tech Stack: Jupyter Notebook, Python
- Features: Group analytics, AI-powered insights
- Status: Development
- Visibility: Private
digi-me¶
Digital Clone Framework
A comprehensive framework for creating digital representations of individuals for online work and life scenarios.
- Tech Stack: Python, AI Models
- Features: Personality modeling, behavioral simulation
- Status: Beta
- License: MIT
☁️ Cloud AI Services¶
bedrock_poc¶
AWS Bedrock Integration
Exploration of AWS Bedrock managed AI services for scalable AI application development.
- Tech Stack: Python, AWS Bedrock, boto3
- Features: Managed model access, cloud-native AI
- Status: Proof of Concept
🔧 AI Development Tools¶
langflow-110¶
LangFlow Source Adaptation
Customized version of LangFlow 1.1.0 source code adapted for debugging and development purposes.
- Tech Stack: Python, LangFlow
- Features: Enhanced debugging, custom modifications
- Status: Maintenance
- License: MIT
- Issues: 🐛 4 open
langflow¶
LangFlow Toolkit
Tools and utilities for working with LangFlow visual programming for AI applications.
- Tech Stack: HTML, JavaScript
- Features: Visual AI workflows, drag-and-drop interface
- Status: Utility
langflow-whl¶
LangFlow Distribution
Custom wheel distribution and packaging for LangFlow components.
- Tech Stack: Python, Packaging
- Features: Custom distributions, enhanced packaging
- Status: Utility
📊 Key Technologies¶
- LangGraph - State-based agent orchestration
- LangChain - LLM application development
- Streamlit - Rapid prototyping and demos
- FastAPI - High-performance APIs
- OpenAI GPT Series - Text generation and reasoning
- Anthropic Claude - Advanced conversational AI
- Open Source LLMs - Llama, Mistral, and others
- Embedding Models - Semantic search and RAG
- Vector Databases - Pinecone, Weaviate, Chroma
- AWS Bedrock - Managed AI services
- Docker - Containerized deployments
- GitHub Actions - CI/CD automation
🚀 Getting Started¶
Most projects include:
- README with setup instructions
- Requirements.txt or poetry configuration
- Docker support for easy deployment
- Example notebooks for exploration
- API documentation where applicable
🔬 Research Areas¶
Current focus areas include:
- Multi-Agent Systems - Coordinated AI agent behavior
- Advanced RAG - Improved retrieval and generation techniques
- Enterprise AI - Business process automation
- AI Safety - Responsible AI development practices
All AI projects follow ethical AI principles and include appropriate safeguards and documentation.