Daniel Del Canto De Guzmán

• Core contributor to a high-scale notification system for Webfleet (1M+ vehicles & assets), designing and implementing features using Kafka Streams, Spring Boot, and SQL.
• Lead the redesign of the geofencing system for real-time vehicle position evaluation.
• Collaborate with international teams (Amsterdam, Leipzig, Warsaw) to integrate services and increase project autonomy.
• Ensure high software quality through rigorous testing (Mockito) and code reviews, enhancing system reliability and maintainability.

I worked on simulating the transmission of quantum states in QPUs interconnected via waveguides, focusing on fidelity and latency in quantum state transmission.

• Modeled the impact of transient effects from tunable couplers using advanced numerical methods with QuTiP in Python.
• Developed a general procedure to generate 3D surfaces for fidelity and latency, enabling systematic analysis of model parameters.

This project aimed to provide observability tools to development teams at Banco Santander.

• Distributed Systems & Backend: Experienced in designing and deploying scalable microservices and distributed systems for real-time data processing and streaming, with a focus on cloud-based solutions.
• Cloud & DevOps: Hands-on with containerized applications and orchestration platforms for efficient cloud deployments.
• Performance & Optimization: Proven ability to optimize system performance, logging, and monitoring to drive observability and scalability.
• Collaboration & Leadership: Effective team collaborator with experience guiding teams on observability, scalability, and workflow management.

I contributed in two different projects, in which I mainly focused on streaming applications:

• Designed, deployed, and automated scalable data processing pipelines and streaming workflows: including end-to-end creation of new flows and migration/optimization of legacy systems.
• Trained and supported teams in maintaining and programming data jobs to improve efficiency and reliability.