I build intelligent systems that automate complex, real-world workflows — combining LLMs, async Python, and RAG architecture into tools that actually ship.

📧 adan.khurram00@gmail.com · LinkedIn · GitHub

Auto-Research (in progress) (production level)

Autonomous research assistant that takes a topic, crawls relevant papers, retrieves and filters content, and returns structured references — no manual search required.
Python Async/Await LLM APIs Web Crawling
→ View repo (https://github.com/adanzee/Auto-Research)

RAG Document Retrieval System
Query-based retrieval system over large document sets using Retrieval-Augmented Generation. Built for accuracy over speed — structured chunking, semantic search, and grounded LLM responses.
Python RAG LLM Integration Vector Search
→ View repo (https://github.com/adanzee/Local-RAG-using-Ollama)

Job Detection & Classification System
Detects and classifies job-related content from unstructured data sources. Built custom extraction + classification pipeline with structured output.
Python Data Extraction LLM Structured Outputs
→ View repo (https://github.com/adanzee/Fake-Job-Detection-Model)

Business Automation (in progress)
A high-throughput system integrates WhatsApp chat to perform OCR on digital invoices, and stores them in Google Sheets.
Python Async/Await LLM
→ View repo (https://github.com/adanzee/business-ai-automation)

Python · Async/Await · LLM APIs (OpenAI, Anthropic) · RAG Architecture · Web Scraping · Vector Databases · Data Pipelines

Internships and full-time roles in AI engineering, automation, or backend systems.
I move fast, I ship things, and I care about building tools that work in the real world — not just demos.