SEIFEDDINE BOUSLAMA

Delivered 20-hour training programs introducing learners to the basics of algorithms and Python, while also offering advanced courses tailored to those aiming to deepen their programming knowledge and problem-solving skills.

Final Year Project – Computer Engineering (AI) Integration of Artificial Intelligence into the Stock module of an ERP (Django). - Developed stock forecasting models (ARIMA, Prophet, CNN-LSTM) to anticipate demand and prevent shortages or overstocking. - Built a hybrid recommendation system (LightFM) to optimize supplier selection based on reliability, costs, and delivery times. - Designed and deployed an interactive dashboard with Django (backend), Next.js (frontend), and PostgreSQL for model testing and validation. - Applied the CRISP-DM methodology for data preprocessing, modeling, and evaluation.

During my summer internship, I worked on implementing an AI model using Llama 3 to support treatment recommendations for breast cancer patients. By analyzing patient records, the model assists in identifying personalized treatment options. This experience allowed me to deepen my skills in AI application and data-driven healthcare solutions, leveraging advanced language models to support medical decision-making