Machine Learning Engineer
Current1. Developed an AI Chatbot prototype based on Prompt Engineering to handle customer complaints2. Implemented AI solutions for various tasks including Sentiment Analysis, Churn Prediction, Campaigns Analysis, Machine Translation, Price Optimization, Network Failure Prediction, and Dialogue Summarization.3. Created an AI solution for Customer Service Calls Analysis, extracting relevant information such as overall customer satisfaction, FCR, and sentiment analysis for both customers and agents.4. Extended the Network Failure Detection System to handle new network segments for 12 million customers in Egypt.5. Optimized the Network Failure Detection System, reducing the processing time for network nodes from 3 hours to 17 minutes6. Expanded the Land-line and Internet Troubleshooting System by developing modules to handle new cases7. Deployed & integrated AI solutions with interactive web apps using VueJS, NodeJS, .NET, Django, and FastAPI.8. Automated a web scraping tool to collect +5000 relevant data items daily from social media. 9. Developed data analytics module for the web scraping tool, i.e. Sentiment Analysis and Trending Campaigns analysis.10. Created a performance analysis module, reporting and monitoring existing software.Area: Deep Learning | Natural Language Processing (NLP) | Data Science { Software EngineeringSkills: PyTorch, TensorFlow, Transformers\HF | .NET, SQL, VueJS, NodeJS, Django, Flask