Teaching machines to think, plan & act — one agent at a time 🤖
Hi, I'm Vasu, an AI & Agentic AI Engineer from Hyderabad, India. I build intelligent, autonomous systems powered by Large Language Models — from RAG pipelines and tool-using agents to full multi-agent workflows. Obsessed with making AI agents that actually reason, plan, and get things done in production.
- 🤖 currently building: autonomous AI agents & multi-agent systems
- 🧠 exploring: agentic reasoning, memory, planning & tool use
- 💼 any queries? do reach, email :)
- 💬 ask me anything about AI, agents, or LLMs — happy to help;
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classVasu:
pronouns= ("he", "him")
languages= [
"Python",
"JavaScript",
"TypeScript",
]
llms= [
"GPT",
"Claude",
"Gemini",
"Llama",
]
ai_stack= [
"LangChain",
"LangGraph",
"CrewAI",
"AutoGen",
"RAG Pipelines",
"Pinecone / ChromaDB / FAISS",
"Prompt Engineering",
"Fine-tuning (LoRA / PEFT)",
]
agentic_ai= [
"Multi-Agent Systems",
"Tool / Function Calling",
"MCP",
"Agent Memory & Planning",
"Human-in-the-loop",
"AI Evals & Guardrails",
]
tools= [
"Hugging Face",
"OpenAI / Anthropic APIs",
"FastAPI",
"Docker",
"GitHub",
"Jupyter",
]
fun_fact= (
"My agents work 24/7 so ""I don't have to... 🤖"
)
| Area | What I do |
|---|---|
| 🤝 Multi-Agent Systems | Teams of specialized AI agents collaborating on complex tasks |
| 📚 RAG & Knowledge Systems | Grounding LLMs in real data with retrieval-augmented generation |
| 🔧 Tool-Using Agents | Connecting LLMs to APIs & the real world via function calling and MCP |
| 🛡️ Reliable AI | Evals, guardrails & observability for production-grade agentic apps |
⚡ "The best way to predict the future is to build the agents that create it."