Hello! I'm Emre.
I'm a final year Computer Science undergraduate at the University of Exeter, currently achieving First-Class honours. I recently completed a Software Engineering internship at Cloudflare, where I worked on the system that schedules infrastructure maintenance safely across Cloudflare's network. My background combines a foundation of low-level programming in C++ with a flexible software engineering skillset in Python and Java.
Experience
Cloudflare | Software Engineering Intern
06/2026 - 09/2026
- Contributed to the Maintenance Coordination System (MCS), which models Cloudflare's infrastructure as a multi-layered graph to ensure maintenances are scheduled safely.
- Onboarded 2 consumer-facing services (Workers KV and Containers) onto MCS by topologically modelling their quorum constraints, backed by comprehensive unit and integration test suites.
- Shipped independent codebase fixes: resolved a BFS path reconstruction bug, made the test suite timezone-agnostic with a cross-timezone regression harness, and moved timeframe validity checks into the API schema to close a CLI bypass.
Education
University of Exeter | BSc Computer Science
Expected Graduation: 06/2027
- Grade: 73.2% (First Class Honours)
- Relevant courseworks: multi-threaded game simulation in Java, telemetry graphing and analysis GUI in Python, optimised lift routing algorithm in Python.
- Personal projects: Feistel Network encryption in C++, custom implementation of standard template library in C++.
Imperial College London | BEng Electrical Engineering
Degree not complete
- Low level programming in C++: Wrote custom versions of standard template library data structures such as vector.
- Computer Architecture: Design and simulation of a 16-bit computer, with full arithmetic and control flow operations.
Lycée Francais Charles de Gaulle | French baccalaureate
2016 - 2022
- Specialty subjects: Mathematics, Physics, Chemistry
- Graduated with distinction (félicitations du jury) 18.21/20
- A-level equivalent: A* A* A*
Skills
- Languages: C++, Python, Java, Bash/Zsh.
- Tools: Git, GitHub, GitLab CI/CD.
- Testing: Relevant unit and integration test suites.
- Containerization: Docker, Docker Compose.
- Observability: Prometheus, Grafana, Thanos.
- Hardware: digital logic design, Arduino, LTspice.
Machine learning & data science
- Regression: linear and polynomial models with feature selection.
- Classification: perceptron and logistic regression on MNIST and CIFAR-10.
- Clustering: k-means and DBSCAN, scored with Silhouette and Davies–Bouldin.
- Dimensionality reduction: PCA, t-SNE and UMAP for visualisation and preprocessing.
- Evaluation: precision, recall and confusion matrices, beyond simple accuracy.
- Data preparation: feature engineering, normalisation and exploratory analysis.
Soft skills
- Public speaking
- Two-time host of LFCG Talent Show
- Musical performances with audience of 1000+
- Part-time work
- 3 years part time experience as a qualified tennis coach
- Independent tutoring in maths (French curriculum)
Languages
- English (fluent)
- French (fluent)
- Turkish (fluent)
- Spanish (intermediate)