About
About
Recent Master's graduate from UFAS1 (Algeria), moving into Cloud & AI Platform Engineering. IEEE-published in NLP, building cloud-native systems with FastAPI, Kubernetes, and AWS. Available from September 2026.
The long version
Biography
I am a Computer Scientist moving into Cloud & AI Platform Engineering, recently graduated with a Master's in Data Engineering and Web Technology at Université Ferhat Abbas Sétif 1 (UFAS1), Algeria.
My core foundation is in Linux, Python, and backend development with FastAPI. I am actively deepening my Kubernetes, Terraform, and AWS skills through hands-on projects — including TaskFlow, a production-grade backend I am building publicly with Clean Architecture, OWASP-mapped security, and a full deployment pipeline.
My research background sets me apart: I co-authored an IEEE-published paper on fake news detection in Algerian dialect using fine-tuned Transformers and LLMs (RIF 2025). That experience gave me a working understanding of model behavior, which I now combine with infrastructure skills to focus on the systems that deploy, scale, and serve AI in production.
I am currently completing mandatory military service and will be available for full-time roles from September 15, 2026.
Why I do this
Mission
To grow as a Cloud & AI Platform Engineer by building reliable, scalable systems that bridge ML research and production infrastructure.
What I believe
Values
- Clean and maintainable code
- Continuous learning and improvement
- Team collaboration and communication
- Automation and efficiency mindset
- Interest in scalable system design
- Open-source learning culture
How I work
Working style
Preferred environment
remote-first, async-friendly, Linux-based development environment
Collaboration
engineering-focused teams, Git-based workflows with PR reviews, mentorship-oriented
Strengths
- Strong foundation in backend development and Linux systems
- Growing experience in DevOps tools and cloud concepts
- Understanding of distributed system principles
- Comfortable working across backend and infrastructure layers
Growth areas
- Gaining production experience with cloud-native systems and AI infrastructure
- Deepening AWS, Kubernetes, and Terraform skills in real-world environments
- Building industry experience through a first engineering role
- Strengthening system design and distributed architecture skills