Moatsem Alhagagi

Aspiring Computer Science graduate (predicted 2:1+) from Nottingham Trent University, passionate about applying advanced computational skills and software tools to innovate within the energy, natural resources, and environmental sectors. Driven by a commitment to a sustainable energy future and optimising resource management through understanding Geology and advancing the energy transition. Eager to contribute to SLB's mission by leveraging expertise in AI/Machine Learning, data analysis, software development, and cloud technologies. Proven ability to rapidly learn, translate complex requirements into data-driven solutions, and manage data reporting in fast-paced environments. Seeking to apply a strong analytical mindset to impactful Geoscience and Petrotechnical internship projects, focusing on Geophysics and Geology.

1. AI-Powered Meal Suggestion & Nutrition Tracking (My Uni Meals) - Final Year Project

• Objective: Developed a mobile app for image-based food identification and nutritional analysis, applying AI/ML and data analytics.
• Tech: Flutter, Firebase, TensorFlow Lite, YOLOv8, Python, Nutrition Databases.
• Outcomes: Engineered CNN & YOLOv8 for food recognition; integrated external databases for nutritional calculations; designed personalized recommendation system; deployed AI models on-device (TensorFlow Lite).

2. Global Dorm Web Application (Distributed SOA)

• Objective: Designed a scalable, distributed SOA for an international student accommodation platform using various software tools.
• Tech: Java, RESTful Web Services, Apache Tomcat, JSON, MongoDB.
• Outcomes: Architected RESTful services (weather, search, booking); utilized MongoDB for data storage; deployed on Tomcat; performed JMeter QoS testing.

3. AI-Driven Vitamins & Minerals Educational Chatbot

• Objective: Created an NLP/object detection chatbot for nutrition education, leveraging appropriate software tools.
• Tech: Python, NLTK, Pandas, YOLOv8, Fuzzy Logic, CSV.
• Outcomes: Integrated YOLOv8 for food detection; developed NLP for query understanding; built CSV knowledge base for contextual responses.

4. FFsmart Inventory System (Group Project)

• Objective: Contributed to a secure inventory management and recipe planning system, using specific software tools.
• Tech: Java, Firebase (Auth, Firestore), Android Studio.
• Outcomes (Personal): Led core coding for ingredient/expiration tracking & recipe suggestions; implemented Firebase Auth & Firestore for real-time stock updates; demonstrated teamwork and backend integration.

• Passionate about the technology/natural world intersection, driven to apply computational solutions and advanced software tools for sustainable global energy demands and transforming the energy sector. Keen follower of innovations in sustainable energy (geothermal, renewables), environmental data analysis, carbon capture (conceptual), and AI/ML applications to complex Geology, Geophysics, petrotechnical, and resource management challenges. Eager to explore how data science and computational geoscience can optimize energy exploration/production with minimal environmental impact, focusing on Geology and Geophysics.