I'm Kuldeep, an AI/ML Engineer building intelligent agents and real-world automation systems.
🔭 Currently building multi-agent AI systems and real-time multimodal AI apps
👨💻 Developed full-stack LLM-based projects with LangChain, OpenAI, Gemini, Deepgram, Twilio, Plivo & more
🤖 Exploring autonomous AI agents using AutoGen, function calling, and dynamic memory tools
🧠 Passionate about GenAI, Voice Agents, and AI in real-world automation
🌱 Learning more about advanced agent orchestration and scalable deployments
💬 Ask me about AI Agents, Function Calling, Real-time APIs, and LLM Integration
⚡ Fun Fact: My AI bots probably have more conversations than I do
- Natural language to SQL interface using LangChain's chaining logic
- Integrated Google Gemini 2.0 Flash for accurate and context-rich query interpretation
- Deployed with Streamlit frontend
- Built on WhatsApp Graph API + Flask Webhooks
- Supports appointment booking, report retrieval, and dynamic info exchange via LLM + Function Calling
- Used Postman for API testing & WhatsApp flow simulation
- Voicebot using FastAPI, WebSockets, Twilio/Plivo, Deepgram streaming ASR, and OpenAI
- Synthesized replies using ElevenLabs
- Real-time voice-to-intent mapping and database-driven responses
- Multilingual voice translation agent using Twilio + Deepgram + OpenAI + ElevenLabs
- Real-time transcription, language switching, and voice synthesis with smooth FastAPI WebSocket pipeline
- Multi-agent system inspired by collaborative AI
- Built using Microsoft AutoGen's GroupChat + MCP tools for agent collaboration
- Added agent-function mapping, tool usage, and parallel task handling
- Streamlit UI for configuring and viewing agent interactions
