Freelance AI/ML Engineer at Self-Employed

Developed and optimized deep learning models using PyTorch (CNNs) for a retail image classification system, achieving a 20%+ reduction in misclassification and improving production reliability. Built and deployed an NLP chatbot using TensorFlow and scikit-learn for an e-commerce platform, resulting in a 30% boost in customer engagement through automated interactions. Fine-tuned pre-trained transformer models for sentiment analysis on large-scale customer review datasets, enhancing sentiment accuracy by 20%. Designed RNN-based forecasting models to predict logistics and delivery patterns, improving delivery time predictions by 20% and supporting smarter scheduling. Collaborated with data science and engineering teams to process and analyze 200+ GB of text and image data, developing scalable Python data pipelines for insights and model training. Integrated ML models into production using Flask and RESTful APIs, automating business workflows and reducing manual effort by 40% while maintai