Pol Fuentes

Location: Switzerland
Email: pol.fuentescamacho@epfl.ch
Website: pol.com
LinkedIn: linkedin.com
GitHub: github.com

Education

Master of Science in Computer Science and Cybersecurity

ETH & EPFL | Zurich & Lausanne, Switzerland | 2024 - Ongoing

• Relevant coursework: Decentralized Systems, Applied Data Analysis

Bachelor of Science in Computer Science

EPFL | Lausanne, Switzerland | 2021 - 2024

• Relevant coursework: Data Structures, Computer Networks, Database Systems

Work Experience

Armasuisse | Lausanne, Switzerland | February 2025 - Ongoing

• Led the design and development of a high-speed network traffic classification system using machine learning, achieving real-time classification at 75+ Gbps with over 90% accuracy.

• Designed and implemented a full data pipeline—from realistic traffic generation and capture to classification and visualization.

• Built a scalable ML-based classification framework with C++, CUDA, and DPDK, optimized for low-latency performance on high-throughput links.

• Developed the data architecture using Apache Kafka, InfluxDB, and Grafana, enabling live monitoring and analysis.

• Delivered a robust system capable of handling production-level loads, paving the way for AI-driven intrusion detection at the core network level.

Languages

• English (Native)
• Spanish (Native)
• Catalan (Native)
• French (Native)
• German (Basic)

Interests

Biking, Hiking, Photography, Skiing