- π€ I'm currently working on Agentic AI systems with AutoGen and LangGraph workflows
- π§ I'm currently learning Advanced LLM Integration and Stateful AI Agent architectures
- π I specialize in OpenAI, Gemini, DeepSeek APIs and Hugging Face Transformers
- π― I'm looking to collaborate on Multi-Agent Systems and Graph-based AI workflows
- π¬ Ask me about AutoGen, LangGraph, LLM APIs, Agentic AI, RAG systems, and stateful AI apps
- β‘ Fun fact: I love building autonomous AI agents with complex decision trees and state management!
Multi-agent system for autonomous web research and data collection
- Tech Stack: AutoGen, OpenAI GPT, Web Scraping APIs
- Features: Intelligent agent coordination, real-time research, automated reporting
- AI Models: GPT-4, Custom agent workflows
π€ AI Content Generator
Next-gen content generation using multiple LLM providers
- Tech Stack: TypeScript, React, OpenAI, Gemini, DeepSeek APIs
- Features: Multi-model content generation, prompt optimization, real-time streaming
- AI Integration: OpenAI GPT-4, Google Gemini Pro, DeepSeek models
AI-powered educational content generator with Hugging Face integration
- Tech Stack: Python, Hugging Face Transformers, NLP Pipeline
- Features: Context-aware question generation, difficulty scaling, bulk processing
- AI Models: BERT, T5, Custom fine-tuned models
Advanced RAG system with vector embeddings and semantic search
- Tech Stack: Python, Vector Databases, Embeddings, LLMs
- Features: Semantic search, document retrieval, context-aware responses
- AI Integration: OpenAI Embeddings, Pinecone/ChromaDB, RAG pipeline
- π Building sophisticated multi-agent AI systems with AutoGen and LangGraph
- πΈοΈ Creating stateful AI workflows with complex decision trees and branching logic
- π€ Developing collaborative AI agents that maintain context across conversations
- π§ Exploring advanced prompt engineering and chain-of-thought reasoning
- π Integrating multiple LLM providers with intelligent routing and fallbacks
- π Contributing to open-source AI and graph-based agentic frameworks
- π Deploying production-ready AI applications with persistent state management
- π€ Agentic AI: AutoGen, Multi-agent systems, Agent orchestration
- πΈοΈ Graph-based AI: LangGraph, Stateful workflows, Complex decision trees
- π§ LLM Integration: OpenAI GPT-4, Google Gemini, DeepSeek, Claude
- π AI Frameworks: Hugging Face Transformers, LangChain, AutoGen Studio
- π RAG Systems: Vector databases, semantic search, document retrieval
- β‘ Real-time AI: Streaming responses, async processing, WebSocket integration
- π State Management: Persistent agent memory, conversation context, workflow orchestration
π« "Code is like humor. When you have to explain it, it's bad." π«