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🤖 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.