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AI Engineer with less than a year in Machine Learning, NLP, and LLMs.
Artificial Intelligence enthusiast with hands-on experience in developing intelligent systems using Machine Learning, Natural Language Processing, and Large Language Models (LLMs). Skilled in building AI powered chatbots, implementing Retrieval Augmented Generation (RAG), and fine-tuning language models for domain specific tasks. Experienced in integrating AI models with full stack applications using modern web technologies and databases. Passionate about developing scalable AI solutions and solving real world problems through intelligent automation.
FAST National University of Computer and Emerging Sciences
Bachelor in Computer Science · Computer Science
August 1, 2022 – June 1, 2026
AI Chatbot with Retrieval Augmented Generation (RAG)
January 1, 2025 – June 1, 2026
Developed an intelligent chatbot system using Retrieval Augmented Generation architecture. Implemented document retrieval and embeddings for accurate AI responses. Improved chatbot response accuracy using prompt engineering techniques.
Hospital Management System with AI Integration
January 1, 2025 – June 1, 2026
Built a full-stack hospital management system using Next.js and MongoDB. Implemented AI based chatbot for automated patient assistance. Implemented role based dashboards for admin, doctors, staff, and patients.
LLM Based Question Answering System
January 1, 2025 – June 1, 2026
Built a Large Language Model based question answering system for knowledge retrieval. Implemented context based prompting for more accurate answers. Integrated LLM APIs for intelligent text understanding and response generation.
Urdu AI Chatbot (NLP Project)
January 1, 2025 – June 1, 2026
Developed an intelligent Urdu language chatbot capable of understanding and responding to Urdu queries. Improved response accuracy through prompt optimization and dataset preprocessing. Applied Natural Language Processing techniques for intent recognition and response generation.
LLM Fine Tuning Project
January 1, 2025 – June 1, 2026
Performed fine tuning of a language model on domain specific datasets. Optimized training parameters to improve model performance.
Cultural Fit Analysis
The candidate's academic projects show a strong alignment with an AI Engineer role, particularly in areas like LLMs, RAG, and NLP. The diversity of projects, including a full-stack system with AI integration and a multilingual chatbot, suggests a broad interest in applying AI to various domains. However, the lack of professional experience and limited project diversity beyond academic settings might indicate a need for further development in collaborative, industry-standard environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving orientation and an interest in building practical AI applications. However, without direct work experience or psychometric test results, it is difficult to assess soft skills like teamwork, communication in a professional setting, or stress handling.