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A transformer-based text classification system for product categorization using fine-tuned BERT/DistilBERT/RoBERTa models. Implements multi-class prediction with PyTorch backend, FastAPI endpoints,…
Personal notes and code exercises from Salvatore Sanfilippo's C programming course. Covers memory, pointers, data structures, file I/O, and interpreter design.
A tool using LLMs and few-shot learning for document-claim mapping and evaluation. It extracts, ranks, and assesses relevant text from documents supporting or refuting claims. Ideal for fact-checki…
A data-driven approach to understand and predict customer dissatisfaction through data processing, exploratory analysis, predictive modeling, rigorous evaluation, and actionable visualization.
Building and evaluating a machine learning pipeline for email classification utilizing synthetic data generated by a GPT-based email generator with Few-Shot Learning.