Share Profile
Muhammad Ahmad Humayun Hanif
Aspiration Statement
I’m passionate about AI automation, agentic AI systems, and corporate AI training. I aim to build practical AI solutions that help businesses automate workflows and adopt AI effectively.
Core Skills
- Augmented Generation Pipelines
- Data Science
- Machine Learning
- Python
- Retrieval
Core Competencies
- Agility
- Strategic Thinking
Preferred Career Paths
First priority: Automation/ AI Engineer
Second priority: AI Trainer
Third priority: -
Academic Awards / Achievements
- Dean's List 2025
Experience
Leadership / Meta-curricular
- Vice Chair Events Cabinet, Habib University Student Government
- HUCON Logistics Team Member
- President - HU Chapter Of Young Peace And Development Corps
- Member, Entrepreneurship Club
Internship / Volunteer Work
- Intern, Lucky Cement (June – July 2025)
- Backend Development Intern, Aksiq (May – July 2024)
Publications / Creative Projects
- Research Paper – Research Paper on Advertisement Integration in Retrieval-Augmented Generation Systems
- Research Paper – Published & Presented at CLEF 2025 at UNED, Madrid in September 2025
Final Year Project
Project Title
N/A
Description
BookForMe is an AI-powered sports venue booking platform that connects customers and vendors through a React Native app (with in-app vendor management) and a WhatsApp AI receptionist, all backed by a single Firestore database with zero double bookings. The main contribution is an agentic AI booking assistant built with LangGraph, which runs multi-turn conversations as a stateful graph with nodes for intent classification, entity extraction, availability checks, and booking execution. The agent supports bilingual input (English and Roman Urdu). A second AI component performs payment OCR using a vision model to extract and validate amounts from payment screenshots. The platform cuts manual coordination for vendors and shows how LangGraph-based agentic AI can address real-world service marketplace flows.
Project Pictures
