Motivated and ambitious Artificial Intelligence student currently pursuing a BS in AI at Abasyn University, Peshawar. Passionate about developing intelligent systems, automation tools. Skilled in AI model integration, API development, voice assistants, and chatbots. Strong problem-solving abilities with hands-on experience in Python, AI frameworks, and web technologies.
Work History
AI ENGINEER
AI Study Material Generator
Peshawar
Developed a web-based AI tool that processes educational PDFs or text content to generate smart study aids, including summaries, flashcards, multiple-choice questions, and concept explanations. Implemented a Retrieval-Augmented Generation (RAG) pipeline using LangChain and Google Gemini (LLM + Embeddings) for context-aware content generation. Integrated ChromaDB for vector storage and built a dynamic, user-friendly front-end for interactive material upload and result display.
AI ENGINEER
Image Analyzer Web App
Peshawar
Built a web-based image analyzer that detects faces, emotions, labels, text, species (human/animal), and dominant colors using Google Cloud Vision API. Designed a responsive UI with drag-and-drop support, image preview, and dark mode. Developed backend with Flask to process and return structured analysis results.
AI ENGINEER
Chatbot Assistant Web App
Peshawar
Built a Flask-based conversational AI chatbot that integrates OpenAI's GPT-4o-mini API for real-time intelligent responses. The system supports a web interface for user interaction and uses a custom Python backend to manage conversation history and maintain context. Includes RESTful API communication, clean front-end UI, and error handling. Project demonstrates LLM integration, prompt engineering, and full-stack development.
AI ENGINEER
Breast Cancer using logistic-regression
Peshawar
A machine learning project that trains a Binomial Logistic Regression model on the Breast Cancer Wisconsin dataset to classify tumors as malignant or benign. Includes data preprocessing, visualization, model evaluation, and insights into predictive performance.
AI ENGINEER
Ecommerce_Recommendation_System
Peshawar
A Hybrid Recommendation System integrating collaborative filtering and content-based methods to improve accuracy, scalability, and personalization. Includes dataset preprocessing, model implementation, evaluation, and visualization.