Pablo Sanchidrián

Experience

• April 2023 - Present

  Software developer @ IBM

  Europe - Remote

  Summary:

  • As a Software Engineer at IBM, I focus on designing and implementing high-performance, scalable backend systems using Quarkus and Spring Boot. My work involves applying Hexagonal and event-driven architectures to optimize application performance, particularly in handling large volumes of requests. I also contribute to the deployment of applications on Red Hat OpenShift and IBM Code Engine, improve search solutions with Elasticsearch, and develop reusable assets to enhance development efficiency. Additionally, I mentor team members and maintain rigorous testing standards to ensure the security and reliability of services.

  Responsibilities:

  • Hexagonal Architecture with Spring and Go to create modular and scalable backends, optimizing performance.
  • Applied event-driven architecture solutions, including job processing systems and real-time notification services.
  • Focused on high-performance applications to manage large volumes of requests without performance degradation.
  • Employed Red Hat OpenShift and IBM Code Engine for application deployment.
  • Developed assets that serve as templates and reference architectures to improve development costs for partners and internal teams, applying best coding practices for performance and cloud-orientation (mostly with Spring).
  • Improved the efficiency of a crucial backend orchestrator by ten times, reducing resource usage and enabling it to manage larger workloads.
  • Designed and implemented search solutions using Elasticsearch, optimizing indexing and query performance for large datasets.
  • Maintained strong code testing standards to ensure services are secure and reliable, leveraging Testcontainers to increase test quality.
  • Mentored new team members and interns, assisting them with development tasks and promoting good coding practices.

  Achievements:

  • Designed and implemented a retrieval augmented generation (RAG) architecture that reduced project maintenance costs by 90%.
  • Improved document retrieval performance from 2 minutes to 4 seconds using Elasticsearch.
  • Improved a backend orchestrator's efficiency by ten times, enhancing performance and reducing resource requirements.

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  • Java
  • Spring Boot
  • Go
  • Red Hat OpenShift
  • IBM Code Engine
  • Elasticsearch
  • Testcontainers
  • Event-driven Architecture
  • Hexagonal Architecture
• May 2022 - September 2022

  Open-source Contributor @ Google Summer of Code

  Spain - Remote

  Summary:

  • Open-source contributor for the Google Liquid Galaxy project, focusing on innovative solutions in satellite communications and 3D visualization.

  Responsibilities:

  • Participated in daily stand-ups and bi-weekly sprint planning meetings to ensure alignment with project goals.
  • Implemented real-time packet exchange with satellites using Google Cloud functions.
  • Established secure data transmission via SFTP with ground stations.
  • Utilized NextJS for the user interface encompassing voting, mobile 2D visualization, real-time satellite tracking, and seamless integration with WebSockets and React Global States.
  • Designed robust data integrity with tailored Firebase security rules.
  • Deployed the application in the Google Cloud Platform.

  Achievements:

  • Collaborated with industry partners Hydra-Space (Satellite provision) and Hybridium (Cloud support) to deploy a complex satellite communication system.
  • Developed a 3D content renderer that enhanced the capabilities of the Liquid Galaxy Cluster.

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  • Git
  • NodeJS
  • JavaScript
  • NextJS
  • WebSockets
  • Next.js
  • Google Cloud Platform
  • Firebase
  • SFTP
• September 2022 - June 2023

  University Collaborator @ University of Cadiz

  Cadiz, Spain - On site

  Summary:

  • Collaborated with the University of Cadiz to develop a sophisticated Unity-based offshore wind farm simulator, integrating real and synthetic data to assess wind farm placement viability.

  Responsibilities:

  • Developed a Unity-based simulator to assess the viability of offshore wind farm placements based on weather conditions.
  • Utilized InfluxDB for managing time-series data and generated simulation data using Python.
  • Integrated real-time data with synthetic data in the simulator to provide accurate and relevant insights.
  • Designed a seamless architecture for real-time data feeding to enhance the simulator’s accuracy and relevance.

  Achievements:

  • Successfully created a simulator that provides users with up-to-the-minute insights into weather conditions and their impact on offshore wind farm placements.
  • Developed an architecture that enhances the accuracy and relevance of the simulator by integrating real-time data.

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  • Unity
  • Python
  • InfluxDB
  • Time-series Data Management
  • Real-time Data Integration
  • Simulation Design