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WajihZaman/README.md

Hi, I'm Wajih Uz Zaman, a Full-Stack AI Engineer!

I architect enterprise-grade Agentic AI applications, high-precision Retrieval-Augmented Generation (RAG) pipelines, and resource-optimized local LLM deployments.

Core Technology Stack

  • AI & LLM Orchestration: LangChain, LangGraph, Ollama, Hugging Face, Vector DBs (PGVector, Qdrant)
  • Backend & Full-Stack UI: Python, FastAPI, Nuxt.js, Vue.js, JavaScript, Docker
  • Data Engineering: Automated Web Scraping, Structured Schema Extraction, Context Engineering

Featured Engineering Productions

  • Local AI RAG Assistant - Achieved 12-25s response latency on CPU-only infrastructure (8 cores, 8GB RAM) with zero GPU overhead.
  • Agentic AI Copywriter - Agentic AI Copywriter app using LangChain to aggregate data from authentic market sources, process it via autonomous AI agents, and serve a seamless user interface for creating platform-specific marketing materials.
  • Multilingual AI Voice Assistant Backend - Streamlined internal corporate ticketing workflows, driving a 17% reduction in call volume. (Confidential project – code cannot be publicly shared.)

Let's Connect: LinkedIn Profile | Portfolio

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  1. agentic-ai-copywriter agentic-ai-copywriter Public

    Autonomous B2B market research & copywriting agent optimized for Facilities Management. Uses LangChain to orchestrate dynamic DuckDuckGo & Wikipedia tool-calling loops over a stateless FastAPI WebS…

    Python

  2. local-ai-rag-assistant local-ai-rag-assistant Public

    Enterprise-grade local RAG API assistant backend running on traditional Azure CPU infrastructure. Serves a quantized Llama 3.2 GGUF model via llama-server with offline ChromaDB ingestion and statef…

    Python 1