Farah Sherif

AI EngineerInternship

• Job Details:An online internship that entailed working with a group to create a LLM application that utilized ChatGPT accessed by the OpenAI API and Python for the backend, and Streamlit and React for the frontend. The application is a chat between the model and the user to train for data analyst interviews. The model can access a dataset for technical questions and a dataset for behavioral questions, both were created by the team. Then after the user answers, the model evaluates the user response and provides feedback using prompt engineering.

Custom Streamlit Component PackagesFreelance / Project

• Job Details:Created chat components for Streamlit applications using React. They are currently two packages only (working on improving them) where one is a chat container with custom chat bubbles, and the second is a custom input field. They were released on TestPyPi called streamlit-custom-chat and streamlit-custom-input

InterviewBot LLM ApplicationFreelance / Project

• Job Details:Created during my internship at RadicalX. My team and I developed an application to help users prepare for data analyst interviews. The ChatGPT model we used was prompt engineered and asked the user questions from the gathered datasets, one dataset for technical questions and another for behavioural questions, then the user answer was evaluated by the model and given personalized feedback. We used streamlit and react for the frontend, and python and OpenAI API for the backend.