Ahmed Awan
I build RAG chatbots & AI agents for startups
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Streaming AI Chatbot with Persistent Memory
Description: Built a chatbot with real-time streaming responses, SQLite-backed memory so conversations persist across sessions, and the ability to dynamically switch between multiple LLMs.
Result line: Shows I can build the "feels alive" parts of AI products — streaming, memory, model flexibility — not just a static Q&A bot.
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AI Discord Bot with Custom Personality & Memory
Description: Built an AI-powered Discord bot with persistent memory using SQLite and a custom personality, capable of natural multi-turn conversations rather than one-off replies.
Result line: Shows I can deploy AI into platforms people already use (Discord), not just standalone web apps.
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Multi-Agent Agentic AI System for Interview Prep
Description: Designed a coordinated multi-agent system using LangGraph where separate AI agents handle resume analysis, job description parsing, question generation, and live coaching feedback — working together autonomously rather than as one monolithic prompt.
Result line: Demonstrates production-grade agent orchestration, not just a single chatbot wrapper.
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InteractDocs
Title: RAG-Powered PDF Analyzer — Chat With Any Document
Description: Built a document Q&A tool so users can upload any PDF and get instant, accurate answers grounded in the actual document content — no manual searching or skimming. Used LangChain for orchestration, FAISS for vector search, HuggingFace for embeddings, and Groq for fast LLM inference.
Result line: Cuts document research time from minutes of skimming to seconds of asking.
Links: Live demo (https://interactdocs.streamlit.app) / GitHub (https://github.com/ahmedawan216/PDF-RAG-Q-A-Project)
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