CS & AI student at Queen Mary University of London. I am passionate about training machine learning models, building smart applications, and making technology a little more human.
BEng Computer Systems Engineering (Hons)
First Year: 1st Class achieved
Modules: Procedural Programming, Computer Systems and Networks, Logic and Discrete Structures, Professional and Research Practice, Object-Oriented Programming, Fundamentals of Web Technology, Information Systems Analysis, Automata and Formal Languages.
Second Year: Currently studying
Modules:Algorithms and Data Structures, Probability and Matrices, Introduction to Artificial Intelligence, Introduction to Robotics, Design and Build Project in AI, Operating Systems, Generative Deep Learning, AI for Decision Making.
1st Class achieved
Developed a strong academic foundation in computing, mathematics, and research skills to prepare for university-level study.
Python | LSTM | Random Forest
Developed an AI system that predicts air quality index (PM2.5) using LSTM neural networks and Random Forest models with real-time data integration.
Python | AI Planning | Robotics
Designed an intelligent control system for autonomous cars, applying AI algorithms for real-time navigation, path planning, and collision avoidance.
Java | Object-Oriented Programming
Built a horse racing simulation game applying object-oriented programming principles, focusing on race logic, player interaction, and randomised outcomes.
Python | Tkinter | Pandas
Developed a Hangman game with user login, score tracking, and graphical interface using Tkinter. Data is managed through CSV files with pandas.