🚀 2nd Year CS Student focused on real-time AI systems, agents, and backend architecture
A low-latency AI agent that streams responses, executes tools, and maintains long-term memory
Key Highlights:
- ⚡ Real-time streaming via WebSockets (token-by-token responses)
- 🗣️ Interruptible voice responses (TTS + buffering pipeline)
- 🧠 RAG-based memory (vector embeddings + semantic recall)
- 🔧 Autonomous tool execution (web, APIs, external actions)
Engineering Focus:
- Designed low-latency response pipeline
- Handled multi-step tool execution with async control
- Built real-time bidirectional communication layer
🔗 GitHub: https://github.com/Aashutosh31/arc-ai-project 🌐 Live Demo: https://arc-ai-project.vercel.app
- AI Agents (LLMs, RAG, tool calling)
- Real-time systems (WebSockets, streaming architectures)
- Backend engineering (Node.js, distributed systems basics)
Node.js • React • MongoDB • Socket.IO • Docker • Redis
- Building autonomous AI agents
- Learning system design & scalability