Cloud & AI Platform Engineer
Cloud & AI Platform Engineer
Bridging ML research and production infrastructure — building cloud-native systems that serve real workloads.
Selected work
A few projects that shaped how I think about infrastructure, education, and community.
Master's thesis project: fine-tuning Transformers and LLMs to detect fake news in Algerian Darija. Published at IEEE RIF 2025.
Multi-client team productivity service: FastAPI backend with role-based access control, SvelteKit web UI, and a Python CLI — all sharing one Postgres + Redis stack. Built layer by layer following Clean Architecture, 12-Factor, and OWASP Top 10 — every commit traceable to an Issue and PR.
A FastAPI-based gateway in front of LLM inference endpoints — adds authentication, rate limiting, request logging, and Prometheus metrics. Deployable on Kubernetes. Bridge between my NLP research background and cloud infrastructure focus.
Always leveling up
What I'm actively deepening right now.
Building AWS fluency for cloud engineering roles. Targeting AWS Cloud Practitioner certification as a first milestone, then Solutions Architect Associate.
Moving from foundational Kubernetes knowledge to production-grade skills — GitOps, operators, and scaling patterns.
Deepening Infrastructure-as-Code skills — modules, remote state, and multi-environment patterns.
In print
Books, essays, and long-form pieces on systems and the people who build them.
AI-driven fake news detection using fine-tuned Transformers and Large Language Models on Algerian dialect data. Addresses low-resource NLP challenges.
Recent Master's graduate seeking a first role in Cloud, DevOps, or AI Platform Engineering. Available from September 15, 2026 (completing mandatory military service). Open to remote-first or hybrid positions globally.