Haroune Mohammedi

➔ Core developer of an MLOps platform enabling end-to-end machine learning lifecycle management. ➔ Built features for automated experiment tracking, ensuring reproducibility and structured model evaluation. ➔ Implemented one-click model packaging (Docker) and deployment workflows on Kubernetes, simplifying productionization for data teams. ➔ Developed backend services in Flask with a strong focus on extensibility, clean architecture, and long-term maintainability. ➔ Translated business requirements into scalable technical solutions, participating in architecture decisions and product evolution. ➔ Evaluated and integrated open-source technologies, selecting pragmatic solutions aligned with product and operational constraints. ➔ Developed a strong product mindset, prioritizing user value, delivery impact, and iteration speed over unnecessary complexity. ➔ Collaborated asynchronously using Slack and GitLab, contributing to clear technical discussions and structured decision-making.

➔ Built and deployed a data-intensive application using Akka, Spark, Kafka, Elasticsearch, and Firebase, focusing on high-availability, fault tolerance, and scalability. ➔ Developed an internal sdk using scala for integrating different dynamic parts of our stack (Firebase, Kafka, Akka ..ect), focusing on maintainability and extensibility. ➔ Contributed on the design of many complex applications based on the actor model. ➔ Provisioned Ansible recipes for internal information system setup/security (Gitlab, Apt Mirror, SFTP, 2FA Authentication).