Maham Nadeem

BS Mathematics graduate with a strong foundation in Artificial Intelligence and Machine Learning. Proficient in Python, NLP, Computer Vision, Deep Learning, and Model Evaluation. Experienced with Scikit-learn, TensorFlow, and Hugging Face Transformers. Hands-on with LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases and automation platforms N8N and Zapier. Passionate about applying mathematical and AI skills to build innovative, real-world solutions.

AI / ML Developer

(2026-01)

• Trained a custom YOLOv8 Computer Vision model for bottle detection, achieving 90% accuracy
• Built complete ML pipelines including data collection, preprocessing, model training, and evaluation
• Applied NLP techniques including tokenization, stopwords removal, vectorization, and Feature Engineering
• Implemented sentiment analysis using classical ML models and Deep Learning (RNN, LSTM, BERT, GRU)
• Developed AI Chatbot for personalized queries using LLMs and advanced Prompt Engineering
• Built Word-to-Excel Converter desktop application using Python and PyQt6
• Built File Merger Agent web app to merge Word, Excel, PDF, and PPT files
• Automated business workflows using N8N and Zapier integration platforms
• Utilized Hugging Face interface and pre-trained models for a wide range of NLP tasks

BS - Mathematics - Virtual University of Pakistan