Nidhal Naffati

Cloud Architect | GCP, Kubernetes

Salary / Daily rate

Gafsa, Tunisia

Freelance, open to permanent contract

Can come onsite

Skills

TerraformKubernetes

Languages

ArabicEnglishFrenchItalian

About me

Intro

Cloud Architect & Full-Stack Engineer with 2+ years building scalable solutions across GCP, Azure, and modern web technologies. Delivered 47% API performance improvements, 22% cost reduction through GKE optimization, and 92% accuracy AI-powered applications. Expert in cloud migration, microservices, and end-to-end development using .NET, Spring Boot, and Vue.js.

Links

Work experience

Cloud Architect

SamRise

Jun 2025 - Present

1 year 5 months

Ariana, Tunisia

⋄ Migrated legacy infrastructure from Azure Virtual Machines to Google Cloud Platform, architecting a modern containerized solution using Google Kubernetes Engine (GKE) for improved scalability and cost efficiency. ⋄ Designed and implemented Infrastructure as Code (IaC) using Terraform to provision and manage GCP resources, ensuring consistent, reproducible deployments across development, staging, and production environments. ⋄ Orchestrated container deployment strategies on GKE clusters, implementing automated scaling policies and resource optimization that reduced infrastructure costs by 22% while improving application performance.

Back End Developer

Seit Consulting

Jun 2024 - Aug 2024

3 months

Tunis, Tunisia

⋄ Optimized API performance by indexing critical database tables and refactoring C#/.NET middleware with Entity Framework, reducing average response times by 47% (from 320ms to 170ms). ⋄ Integrated Yousign’s e-signature API into the document workflow system, enabling digital contract signing for 200+ users. ⋄ Developed a commission tracking system with C#/.NET Core, automating agent payouts and policy settlement calculations.

Full Stack Developer

DataSoil

Mar 2023 - May 2023

3 months

Sfax, Tunisia

During my internship at DataSoil, I achieved the development of a modern solution for 'Dyslexia Detection' on local machines, which was measured by achieving precise predictions through the analysis of eye movements using a prebuilt AI model. In pursuit of this goal, I took the following actions: ⋄ Built an AI-powered dyslexia detection application using eye-tracking data, leveraging machine learning models to analyze reading patterns and assist early diagnosis (92% accuracy). ⋄ Developed and deployed a full-stack solution with Spring Boot and Vue.js, ensuring a smooth user experience. ⋄ Integrated SeeSo SDK with custom calibration algorithms, improving de- tection precision by 35% compared to baseline metrics.


Education

ESPRIT

Engineer's degree

2023 - 2025

1 year 11 months

Faculty of Sciences, University of Gabes

Bachelor's degree

2020 - 2023

2 years 11 months

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