Shafagh Fadaei

Advised on the development and deployment of a shopping assistant chatbot using Generative AI technologies to enhance user experience on a vehicle listing platform. The project aims to facilitate natural language conversations and assist users in finding suitable car options.

Led a team focused on fraud detection in a large classified ads platform, developing machine learning models to identify fraudulent activities and enhance operational efficiency. Mentored junior team members to improve productivity.

Served as the Language Ambassador for Persian in the Aya Project, coordinating contributions and leading data collection efforts for expanding AI language models. Contributed to research papers as part of a global initiative.

Directed the NLP team, leading projects in training large language models and developing tools for text classification and sentiment analysis, significantly enhancing the capabilities of the AI branch.

Contributed to various NLP projects, deploying systems for automated replies and intent detection, improving customer service experiences across multiple platforms.

Focused on enhancing semantic search quality and user satisfaction through improved relevance and precision in search functionalities.

Developed syntax-based models for machine translation, enhancing fluency and accuracy in translation systems.

Led research to develop a Neural Machine Translation engine for English-Persian language pairs, improving translation accuracy through innovative model designs.

Developed banking software solutions aimed at optimizing financial transaction processes, contributing to improved efficiency in banking operations.

Conducted research for a PhD thesis titled 'Improving Machine Translation By Using Tree Adjoining Grammar', focusing on advancements in natural language processing.

Completed a Master's thesis on 'Extracting Conceptual (Semantic) Relations from Text', contributing to the field of natural language processing.

Graduated with a Bachelor's thesis on 'Morphological Analysis and Part of Speech Tagging for Persian', laying the groundwork for future studies in NLP.