Ahmed E.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

I am Ahmed Elgabry, a Software Engineer at the Food and Agriculture Organization of the United Nations and am currently pursuing a Master’s degree in Artificial Intelligence at the American University in Cairo (AUC). With a strong background in Machine Learning, Deep Learning, and NLP, I specialize in LLM fine-tuning, geospatial AI, and scalable MLOps solutions. My expertise includes developing AI-driven NLP applications, enhancing large-scale text analytics, and building intelligent automation systems using state-of-the-art deep learning models. I have successfully implemented GPT-4-based applications, Named Entity Recognition (NER) systems, multilingual NLP pipelines, and chatbot automation frameworks. Publications 📖 Enhanced Dynamic Sign Language Recognition using SlowFast Networks A. Hassan, A. Elgabry, and E. Hemayed, 2021 17th International Computer Engineering Conference (ICENCO). DOI: 10.1109/ICENCO49852.2021.9698904 Expertise in Natural Language Processing (NLP) 🔹 Large Language Models (LLMs) – GPT-4, LLaMA 2, Bard, LangChain, Hugging Face Transformers 🔹 Text Preprocessing & Tokenization – Spacy, NLTK, Word2Vec, FastText, BPE Tokenization 🔹 Named Entity Recognition (NER) – BERT, RoBERTa, T5, Stanford CoreNLP 🔹 Question Answering (QA) – BERT QA models, RAG (Retrieval-Augmented Generation) 🔹 Sentiment Analysis & Text Classification – Transformer-based models, SVM, Naïve Bayes 🔹 Conversational AI & Chatbots – GPT-based virtual assistants, Rasa, Dialogflow 🔹 Speech-to-Text Processing – Whisper API, Kaldi, DeepSpeech for automatic speech recognition 🔹 Multilingual NLP – Arabic-English NLP pipelines, transformers for cross-lingual applications Technical Skills 🔹 Machine Learning & AI – PyTorch, TensorFlow, OpenCV, Scikit-learn, Hugging Face 🔹 MLOps & Cloud Computing – Docker, MLflow, GitHub Actions, AWS, GCP 🔹 Big Data & Databases – PySpark, Hadoop, Kafka, SQL, MongoDB 🔹 Geospatial AI & GIS – WMTS, WMS, Geospatial Data Processing Notable NLP Projects ✅ AI-Powered Hiring Platform (GPT-4 + LangChain) – Built an intelligent recruitment automation system, increasing efficiency by 40% ✅ NER-Based Knowledge Graph (BERT + Stanford CoreNLP) – Transformed historical Arabic texts into structured knowledge graphs ✅ Legal Document Summarization (BART + Pegasus) – Developed an AI-powered legal NLP pipeline to summarize contracts and extract key clauses ✅ Multilingual Chatbot (GPT-4 + Rasa + LangChain) – Built a voice-enabled chatbot supporting Arabic and English ✅ Question Answering System (BERT QA Model) – Deployed a Flask-based QA API for real-time question-answering ✅ Optical Character Recognition (OCR for Arabic & English) – Enhanced text recognition and transcription accuracy I am passionate about advancing NLP research, developing LLM-powered AI solutions, and optimizing text analytics for industry applications. Let’s connect!