Selim Elbindary

Worked on Large Language Models including local LLMs (with Ubuntu) and GPT-4, integrating them in projects and building applications and chatbots using Langchain. Worked on projects using Prefect to automate workflows. Built custom chatbots that use GPT-4 along with vector databases, dashboards and other tools. Focus on improving chatbot agents response time.

Worked with Dr. Mohammed Salem on CNNs to study, review and work on existing methods and design new ones to detect Wildfires. Focus on Wildfire detection in images and videos. Designing a lightweight architecture that can detect early stages of wildfires and be used in an easily distributed system. Worked on using smoke to detect areas where there are wildfires and incorporating active learning.

Worked on a dataset on interactions between consumers and cus- tomer service that allowed me to find concerns and detect insights. Worked using Apache Spark to Extract, Transform and Load (ETL) large datasets. Used PowerBI to visualize and create reports for end-users. Learned the basics of Machine Learning using TensorFlow.

Lab instructor for the python CS102 (Introduction to Computer Science) course, supervising 2 weekly labs, explaining concepts, aiding students, supervising quizzes and grading lab assignments.

Master in Computer Science with a specialization in Autonomous Systems