Ahmed Trigui
DevOps Developer @NeoXam
Salaire / Taux journalier
Tunis, Tunisie
Freelance, ouvert au CDI
Expertises
Langues
À propos
Introduction
Skilled DevOps and AI Developer with proven experience in building, deploying, and automating infrastructure and intelligent systems. Proficient in Python, Shell Scripting, and JavaScript, with a solid background in containerization (Docker), CI/CD pipelines (Jenkins) and cloud infrastructure. Recently focused on GenAI applications, designing and developing AI agents. Passionate about system reliability, automation, and delivering scalable, maintainable solutions. Strong problem-solving mindset, team collaboration skills, and commitment to staying current with DevOps and AI/ML trends.
Expérience de travail
NeoXam Tunisie
sept. 2022 - Présent
4 ans 2 mois
Tunis, Tunisie
Confirmed DevOps Developer
oct. 2024 - Présent
2 ans 1 mois
Tunis, Tunisie
Junior DevOps Developer
sept. 2022 - oct. 2024
2 ans 2 mois
Tunis, Tunisie
- Actively contributing to the ongoing development of a fully dockerized web app "Automation Portal" using Django REST Framework that manage NeoXam's Hybrid Cloud, including over 3000 VMs leveraged in CI/CD pipelines, host servers, networks, and datastores. - Developing website interfaces and interacting with APIs using PrimeVue in a Vue.js frontend. - Implementing monitoring and alerting solutions with Grafana by retrieving data from Prometheus exporter’s exposed metrics, ensuring real-time insights into VMs, hosts, and datastores. - Development of a Linux-based framework using Shell scripts to automate system configurations, third-party tools (SQL Server, Oracle, PostgreSQL, Docker), and NeoXam software deployments. - Overseeing infrastructure, including VMware's internal datacenter and AWS cloud environment.
Python and Computer Vision Development Intern
868 SOLUTIONS Technology Services & Network
févr. 2022 - juil. 2022
6 mois
Sfax, Tunisie
• Developed real-time computer vision solutions using YOLOv5 and PyTorch for face mask, age, and gender detection, and analytics. • Implemented tracking algorithms to monitor movements, enhancing system reliability. • Built a responsive frontend using JavaScript and Bootstrap for seamless video data interaction. • Designed a robust Python Flask backend to process video streams, ensuring scalability and performance. • Achieved 95% detection accuracy and improved system efficiency through optimized model training.
Formation
Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT
Engineer's degree, Software Engineering
2022 - Présent
4 ans 2 mois
École Nationale d'Electronique et des Télécommunications de Sfax (ENET'Com)
Bachelor's degree, Internet of Things
2019 - 2022
2 ans 11 mois
Licences et certifications
Certificate of Participation IBM TechXchange Dev Day: Open Source LLMs
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Certificate of Completion: Cooking with Granite: Hands-on with IBM's Open Source LLMs
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