
Nidhal Naffati
Cloud Architect | GCP, Kubernetes
Salary / Daily rate
Gafsa, Tunisia
Freelance, open to permanent contract
Can come onsite
Skills
Languages
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.
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