David Labrador Merino

Advanced configuration of the Zyxel USG60 firewall to protect critical infrastructures against unauthorized access, malware, and external attacks.

Ensure the wind tunnel system operates without interruption, minimizing risks of downtime or network incidents.

Fine-tuning of rules, traffic, and prioritization to ensure low latency and maximum efficiency in demanding technical environments.

Implementation of secure connections for technical teams or engineers who need to operate or monitor the system remotely.

Network segmentation and access control to comply with industrial or IT security standards.

Configuration of alerts, logs, and detection systems to react quickly to any anomaly.

Platform, Data, and AI Engineer (Multi-Tenant SaaS Project)

Design and construction of the technological architecture for a multi-tenant SaaS platform focused on business management, integrating data, automation, and artificial intelligence. Definition of scalable backend and data architectures to support multi-company environments. Design and optimization of PostgreSQL databases for operations, reporting, and advanced analytics. Development of APIs and integrations between systems using event-driven architectures. Implementation of automation workflows for optimizing operational processes and reducing manual tasks. Design and integration of AI agents and LLM-based solutions for automation and decision support. Establishment of development standards, engineering best practices, and technical documentation. Direct collaboration with management to align technological strategy with business objectives. Technical mentoring of junior profiles and support in defining development processes.

I led a comprehensive optimization project in a frozen products distribution company, acting in both the logistics area and commercial team management. In logistics, I redesigned delivery routes using planning tools and segmenting customers by frequency and volume, which reduced transportation costs and improved delivery times. Additionally, a demand forecasting system was implemented in coordination with the commercial team, decreasing stockouts and urgent deliveries.

In the commercial area, I implemented a CRM system to structure customer management, define clear KPIs (average ticket, visit frequency, and margin per customer), and balance commercial zones according to real potential. This increased team productivity, improved cross-selling, and boosted profitability per customer.

As a result, a significant reduction in logistics costs, an increase in sales from active customers, and an overall improvement in customer service level and satisfaction were achieved.