About

A future DevOps & Cloud Engineer with data, AI and engineering foundations.

Future DevOps & Cloud Engineer combining scientific and energy engineering foundations with data engineering, automation, distributed systems, AI systems and practical business understanding. Business experience remains a complementary advantage: it helps connect infrastructure and software choices to real operational constraints.

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Engineering Journey

One trajectory across physical, operational and software systems.

  1. 01

    Energy Engineering

    Scientific training, energy performance and industrial systems.

  2. 02

    Entrepreneurship & Technical Solutions

    Industrial maintenance, energy solutions and complex project delivery.

  3. 03

    Business Engineering

    Operational insight, CRM systems and business process understanding.

  4. 04

    Data Engineering & Automation

    Python, data enrichment, analytics and automated workflows, reinforced at ALX.

  5. 05

    DevOps, Cloud & Intelligent Systems

    Linux, distributed systems, software, operations and cloud specialization at ISEN.

Why Cloud & DevOps

Building dependable systems beyond application code.

The current specialization focuses on how software is designed, connected, secured, operated and improved across distributed environments.

Cloud & Operations

Cloud Computing, Linux, security and operations—currently strengthened through ISEN training.

Software Systems

Software Engineering, APIs, microservices and distributed-systems foundations.

AI & Data Layer

Data Engineering, AI systems, LLM workflows, automation and Machine Learning foundations complement the infrastructure focus.

Business Context

Engineering decisions grounded in operational reality.

Experience with stakeholders, workflows and performance systems helps me translate real operational problems into technical requirements. It supports the engineering profile; it does not replace technical depth.