MSc Advanced Computer Science · Queen Mary University of London

Software
Developer.
London.

Specialisation
AI / ML · Full-Stack · Data Engineering
Status
Open to internships & graduate roles
Education
BSc Westminster · MSc QMUL 2026
Hamza Lasry, software developer, portrait
Experience
3+
Years building software, ML models, and data systems.
Projects Delivered
6+
Portfolio projects spanning AI, IoT, OOP systems, and fintech.
Technologies
15+
Languages, frameworks, and tools used across projects.
Availability
2026
Available for internships and graduate roles from 2026.
About

Helping build systems that think, scale, and last.

An engineer and problem-solver at the intersection of AI and software.

I'm Hamza Lasry, an MSc Advanced Computer Science student at Queen Mary University of London with a BSc from the University of Westminster. I build scalable systems, AI/ML applications, and data-driven solutions.

From NLP spam classifiers to IoT sensor loggers, I approach every challenge with rigorous thinking and attention to what actually matters: clean architecture, meaningful outcomes, and well-documented code.

I'm seeking internships and graduate roles in software engineering, fintech, and data engineering — open to ambitious teams doing serious work.

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What I build
with.

A precise technical toolkit across languages, frameworks, data tools, and engineering practices.

Core
Python
Java
JavaScript
Additional
TypeScript
SQL
MicroPython
Exploring
C++ (basics)
Bash scripting
Web
React
Next.js
Node.js
AI / ML
TensorFlow
Keras
Scikit-learn
Libraries
Pandas
NumPy
Matplotlib
Visualisation
Plotly
Power BI
Jupyter
Methods
NLP / TF-IDF
LSTM / Deep Learning
Random Forests
DevOps & Workflow
Git & GitHub
CI/CD Pipelines
Agile / Scrum
Cloud Computing
Engineering Practices
OOP Design Patterns
RESTful APIs
Unit Testing
Documentation

Process

How I Build

A structured process that adapts across any domain, from AI systems to full-stack applications.

01
Research & Discovery
Deep dive into problems, define needs, and gather insights to build solid foundations.
02
Data & Tech Stack
Select the best tools, frameworks, and infrastructure for performance and scalability.
03
Build & Implementation
Develop clean, modular systems with best practices in mind, from backend to full-stack.
04
Launch & Optimisation
Deploy, monitor, and iterate with continuous improvements for lasting impact.

Education & Journey

A path built on rigorous academic foundations and hands-on engineering experience.

2021 – 2024
BSc Computer Science
University of Westminster, London
2023 – 2024
Independent Project Development
ML Models · OOP Systems · IoT · Data Engineering
2025 – 2027
MSc Advanced Computer Science
Queen Mary University of London
2026 →
Internships & Graduate Roles
Software Engineering · Fintech · Data Engineering · Data Science

Let's build
something great.

Open to internships, graduate roles, and ambitious collaborations in software development, fintech, and data engineering. Based in London — I respond within 24 hours.

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