🎓 Computer Science Student | 🎓 Queen Mary University of London
🌟 Passionate about AI, finance, and software engineering.
🌍 Always eager to learn, innovate, and contribute to impactful projects.
- Languages: Python, Java, TypeScript (React, Next.js), SQL
- Frameworks & Libraries: TensorFlow, Selenium, Pandas, LangChain
- Databases: MySQL, Oracle
- Tools & Concepts: Data Structures & Algorithms, Embedding Models, Web Crawling
- Developed a web crawler to extract security-related content from IBM SkillsBuild.
- Analysed embedding models using Hugging Face tools for semantic search.
- Created a local database and built a semantic search engine using LangChain.
- Built a Python-based web scraper using Selenium to collect metadata from over 5000+ startups.
- Utilised multithreading, increasing scraping efficiency by 40%.
- Developed a ResNet-50 model for classifying dog breeds.
- Leveraged TensorFlow and PyTorch for experimentation and model building.
- Implemented React components and performed QA for a web application.
- Designed and executed a web scraper to extract garage reviews for analysis.
Sep 2024 – Present
- Mentored over 300 students in database systems labs and provided feedback on coursework.
- Designed new coursework integrating information retrieval and machine learning concepts.
Jul 2024 – Aug 2024
- Researched software solutions for insurance account management, boosting operational efficiency by 70%.
- Designed a showcase website using Next.js and Tailwind CSS.
May 2023 – Jul 2023
- Implemented React components and designed a web scraper for data analysis.
- Conducted quality assurance to ensure application stability.
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BSc Computer Science – Queen Mary University of London
Sep 2022 – Jul 2025 (Predicted First Class Honours)- Key Modules: Neural Networks, Security Engineering, Software Engineering, Algorithms
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French Baccalaureate (Mathematics & Physics) – Lycée Notre-Dame du Grandchamp
Sep 2019 – Jul 2022- Graduated with top marks (Mathematics: 20/20, Physics: 17/20).
- Mathematics for Machine Learning – Coursera, Imperial College
- Financial Markets – Coursera, Yale
- Cambridge Advanced (C1)
📫 Email: [email protected]
🔗 LinkedIn: Mathis Weil