
Spam Detection (Applied AI)Featured
NLP-based system to classify spam messages using TF-IDF and machine learning models.
Software Developer & MSc Advanced Computer Science Student
Aspiring engineer passionate about building scalable systems, AI/ML applications, and data-driven solutions. Open to opportunities in software development, fintech, data engineering, and data science.
I’m Hamza Lasry, an MSc Advanced Computer Science student at Queen Mary University of London with a BSc in Computer Science from the University of Westminster. I enjoy turning complex challenges into clean, practical solutions through a mix of research, coding, and experimentation.
University of Westminster
Portfolio website, ML crypto models, OOP systems, IoT logger
Queen Mary University of London
Internships & graduate roles in software, fintech, and data
Strong background in computer science fundamentals, reinforced through both BSc and MSc studies, and applied in hands on project work.
Begin my career through internships or graduate roles in software development, fintech, or data-driven engineering, while expanding expertise in AI/ML and cloud technologies.
I value clarity, adaptability, and collaboration — building solutions that are reliable, maintainable, and impactful.
From discovery to optimisation, I follow a structured process that adapts to any domain, from AI systems to full-stack applications.
Deep dive into problems, define needs, and gather insights to build solid foundations.
Select the best tools, frameworks, and infrastructure for performance and scalability.
Develop clean, modular systems with best practices in mind — from backend to full-stack.
Deploy, monitor, and iterate with continuous improvements for lasting impact.
Throughout my academic journey, I’ve learned to approach problems with both technical precision and creativity. I’ve built experience in breaking down challenges, exploring solutions, and adapting quickly to new tools and unfamiliar concepts.
I strive to write clean, maintainable code and enjoy collaborating with others to deliver outcomes that are both useful and impactful. For me, technology is as much about learning and improving as it is about building systems that are reliable, scalable, and meaningful.
NLP-based system to classify spam messages using TF-IDF and machine learning models.
Forecasting Bitcoin price movements with LSTM and Random Forest models.
Java OOP system simulating passenger boarding with queues, menus, and file persistence.
Raspberry Pi Pico project for capturing environmental sensor data and exporting logs for analysis.
Explore additional projects, experiments, and open-source contributions directly on my GitHub profile.
Book a quick chat — I usually reply within 24h