Open to opportunities

OUADI AMINATINHINENE

@ouadiaminatinhinene

Computer Systems State Engineer and Master’s graduate with hands-on experience in data engineering, cloud computing, machine learning.

Algeria

Message

What I'm looking for

I'm looking to build scalable cloud, data, and AI systems where I can apply machine learning, distributed systems, and hands-on engineering while continuing to grow through impactful projects.

I've built data and cloud systems across ARH, CASNOS, and UQTR, from a business intelligence dashboard for natural-gas tariff calculations to an Azure-based medication-recognition platform combining YOLO and GPT-4.

At UQTR, I designed GraphScaler, a GNN-based approach to proactive Kubernetes microservice autoscaling, deploying and monitoring live services with Docker, Istio, Prometheus, and Grafana. My related paper was accepted at IEEE GLOBECOM 2026.

Experience

Work history, roles, and key accomplishments

Research Internship

Université du Québec à Trois-Rivières (UQTR)

Aug 2025 - Jul 2026 (11 months)

Designed GraphScaler, a GNN-based deep learning solution for proactive autoscaling of microservices on Kubernetes, outperforming traditional reactive autoscalers. Deployed and monitored services using Docker, Istio, Kiali, Prometheus, and Grafana to validate scaling behavior on a live cluster.

graph neural networks Deep Learning Kubernetes Docker Istio Kiali Prometheus Grafana Microservices AutoScaling

Automated Medication Recognition system – Collaboration

CASNOS

Nov 2024 - Feb 2025 (3 months)

Built a cloud-based system using Microsoft Azure to automatically detect and identify medications from scanned prescriptions. Combined a YOLO model with the GPT-4 LLM to recognize doctors' stamps and verify that prescriptions were legally issued.

Azure YOLO GPT 4 Cloud Computing Computer Vision LLM