Digital Twin

🔍 How This Bot Works

This digital twin uses Retrieval-Augmented Generation (RAG) to provide accurate, personalized responses.

⚡ Built From Scratch

No agent frameworks used! This is pure craftsmanship:

✨ Raw, well-crafted functions as tools
🎯 Carefully engineered prompts
🧠 Custom RAG system implementation
🛠️ Hand-built evaluation pipeline

🚀 Technical Innovation

I've figured out a way to use streaming and tooling at the same time!

This means you see real-time status updates (💭 Thinking... ✨ Curating...) while tools are executing - something that's typically challenging because streaming and function calling are usually mutually exclusive in most implementations.

⚙️ What Happens When You Ask

1. 💭 Thinking...

Searches my knowledge base
Retrieves relevant context about career, skills, projects
May retry with different phrasings for better results

2. 🧠 Generating Response

Formulates answer using retrieved context
Maintains authentic voice and style
Ensures accuracy based on real information

3. ✨ Curating my answer...

Validates response for accuracy
Checks completeness and appropriateness
Ensures alignment with actual background

4. 📤 Additional Actions

📬 Sending notification... - Flags complex queries for review
📧 Reaching out... - Saves contact info for collaboration

🎯 What You Can Ask About

💼 Career & Experience

Work history and background
Technical skills and expertise
Projects and achievements

🤝 Collaboration

Partnership opportunities
How to work together
Contact and outreach

🧠 Personality & Values

Problem-solving approach
Communication style
Core beliefs and philosophy

⏱️ Response Time

Expect 2-5 seconds per response:

Knowledge retrieval
Answer generation
Quality validation