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Highlight: Brief description of the Big Data - AI course or training program

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: Involved in the development of advanced AI solutions, autonomous agent architectures, and scalable enterprise systems focused on automation and decision-making.

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 11 projects (updated April 2026).
• Sectors: insurance, healthcare (3D surgery and AI-based psychology), food SMEs, custom manufacturing, chemical production and water control (legionella), industrial automation, and AI-powered call centers.
• Development of solutions such as call assistants, OCR systems, order automation, and enterprise management platforms.

Technologies:

N8n | Python | LangChain | LangGraph | React | TypeScript | Docker | Portainer | Dockploy | Twilio | Vapi | Supabase | Azure | GitHub DevOps | Salesforce | Confluence | 3D Slicer | Trame

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.