Muhammad Haseeb

AI/ML Engineer with hands-on experience in NLP, Generative AI, RAG, and LLM-based applications. Skilled in developing end-to-end ML solutions, from data preprocessing and model evaluation to production API deployment using Python and FastAPI. Experienced in semantic search, vector databases, and building scalable AI systems.

AI/ML Engineer - Developer Hub Corporation

(2025-05 - 2025-08)

• Built ML solutions for stock-price forecasting, heart-disease risk prediction, and house-price estimation, applying regression and classification techniques to real-world datasets.
• Developed LLM-based health and mental-health chatbots, using prompt engineering and Hugging Face model fine-tuning to generate safe, context-aware conversational responses.
• Performed dataset analysis, feature preparation, model evaluation, and visualization using Python, Pandas, Scikit-learn, Matplotlib, and Seaborn, translating model outputs into actionable insights.

Data Science Intern - Prodigy InfoTech

(2025-02 - 2025-04)

• Developed regression and clustering models for house-price prediction and retail customer segmentation using Linear Regression and K-Means to identify pricing patterns and customer groups.
• Built computer vision classification solutions for cats-vs-dogs and hand-gesture recognition, applying SVM-based image classification to support image-based recognition tasks.
• Developed an image-based food recognition system to classify food items and estimate calorie content, using visual features and machine-learning techniques for dietary analysis.

BS - Artificial Intelligence - Superior University, Lahore (2023)