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Highlight: Advanced practical training in ethical hacking, DFIR, DevSecOps, and SOC operations, structured around the full cybersecurity lifecycle: identify, protect, detect, respond, and recover.

Key points:

• Own degree issued jointly by UNIR and DKS Digital Knowledge School.
• Hands-on labs with industry tools such as Kali Linux, Metasploit, Hashcat, and Shodan.
• Training aligned with NIS2, DORA, and ENS cybersecurity frameworks.
• Continuous-assessment model with no exams and a strong project-based approach.

Highlight: Master FP in Artificial Intelligence and Big Data completed in June 2026, focused on AI models, machine learning systems, and enterprise-grade data architectures for real business use cases.

Subjects:

• Artificial Intelligence Models
• Machine Learning Systems
• AI Programming
• Big Data Systems
• Applied Big Data

Highlight: Higher National Diploma in Cross-Platform Application Development (DAM)

Subjects:

• Computer Systems
• Databases
• Programming
• Markup Languages and Information Management Systems
• Development Environment
• Training and Labor Orientation (FOL)
• Data Access
• Interface Development
• Multimedia and Mobile Devices Programming
• Services and Processes Programming
• Enterprise Management Systems
• Professional English (Higher Diploma)
• Business and Entrepreneurship
• Workplace Training (FCT)

Highlight: Intermediate Vocational Training in Microcomputer Systems and Networks (SMR)

Subjects:

• Office Applications
• Local Networks
• Computer Assembly and Maintenance
• Web Applications
• Single-User Operating Systems
• Training and Labor Orientation (FOL)
• Network Services
• Network Operating Systems
• Computer Security
• Technical English (Intermediate Diploma)
• Business and Entrepreneurship
• Workplace Training (FCT)

Highlights: Cross-functional role as Analyst, Consultant, Solution Architect, AI and Big Data Specialist, FullStack Developer, Microservices Engineer, DevOps contributor, Agent Orchestrator, and Prompt Engineer.

Responsibilities:

• Architecture & Consulting:
  • Designed solutions as a Software Architect and AI & Big Data Consultant.
  • Performed technical analysis and defined microservices-based architectures.
• AI & Backend Development:
  • Developed intelligent systems using Python, LangChain, and LangGraph.
  • Implemented APIs, business logic, and agent orchestration.
• Frontend Development:
  • Built modern interfaces using React and TypeScript.
  • Developed data visualization and interactive tools for end users.
• Automation & Microservices:
  • Automated business processes using n8n and distributed architectures.
  • Developed microservices-based applications.
• DevOps & Deployment:
  • Containerization with Docker and management using Portainer and Dockploy.
  • Deployment on Azure and pipeline management with GitHub DevOps.
• Testing & Quality:
  • Testing, maintenance, and optimization of production systems.
  • Technical auditing and continuous improvement of solutions.
• AI Specialization:
  • Design and orchestration of intelligent agents using LangGraph.
  • Automation of intelligent workflows and processes with n8n.
  • Prompt engineering and conversational system design.
  • Integration of voice solutions (Twilio, Vapi) and AI assistants.

Projects & Sectors:

• Participation in 14 projects (updated July 8, 2026).
• Sectors: insurance, healthcare, psychology, industrial manufacturing, food, maintenance, consulting, legal services, and livestock.
• Highlighted initiatives: AI-enabled ERP systems, surgeon-focused CFD analysis platform (web + 3D Slicer plugin), industrial and document automation, OCR-driven manufacturing workflows, intelligent call assistants, ERP Commander platform, and a legal platform generating family-tree structures over 800M+ records.
• Contribution to a BI platform for the sheep-farming sector, including backend API analysis, development, and testing for a WhatsApp chatbot integration.

Technologies:

Python | TypeScript | PHP | React | Vue | CodeIgniter 4 | LangChain | LangGraph | OpenAI | n8n | Docker | Portainer | Dockploy | Azure | GitHub DevOps | Supabase | Twilio | Vapi | Salesforce | Confluence | ClickUp | Trame | 3D Slicer | MAMP | ENFOCA | LAIA | MPM SegElevia

References:

Highlights: Specialization project (approx. 400-450 hours) focused on agricultural soil classification using AI and Big Data over real multi-depth sensor data, targeting WRB and USDA classification without lab dependency.

Main contributions:

• Cleaning and consolidation of an initial dataset close to 1M records across 21 .parquet files.
• Preparation of a final 282K-record dataset after sensor-type filtering and sentinel/null/invalid value treatment.
• Modeling and classification analysis with R, Python, Weka, LightGBM, XGBoost, and RandomForest.
• Application of SMOTE balancing and validation strategy focused on cross-sensor generalization.
• Implementation of interpretable CLIPS rules for WRB and USDA classification logic.
• Development of an interactive web platform with live dashboard and real-time testing.

Key results:

• F1-macro LOSO: 0.983
• AUC ROC: 1.000
• Accuracy: 99.9%
• 29 field sensors analyzed and 80+ treated variables

Resources:

Highlight: Higher Degree (GS) internship in multiplatform application development (DAM)

Functions:

• Back-end Development:
  • Implementation and maintenance of functionalities in Java with Spring and Hibernate.
• Databases:
  • Optimization of complex queries in SQL Server to improve performance.
• Front-end Development:
  • Implementation of data visualization with JavaScript, jQuery, and jqGrid.
• Reports and automation:
  • Creation of reports in Excel and PDF with JasperReports.
  • Maintenance of .NET (C#) projects for process automation.
• Tools:
  • Version control management with Git and GitExtensions.
  • Development environments like Eclipse and Visual Studio.

Highlight: Intermediate Degree (GM) internship in microcomputer systems and networks (SMR)

Functions:

• Full-stack Development:
  • Comprehensive development vision, working on server optimization, back-end infrastructure, and improving user experience on the front-end.
• Management and Automation:
  • Administration of national-level servers and routers, and automation of internal processes to increase efficiency.
• Technical Support:
  • Diagnosis and resolution of hardware, software, and network incidents, applying an analytical approach.
• Team Collaboration:
  • Collaboration with technical and commercial departments to ensure service continuity and productivity.