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AI Engineer with 1+ years in Medical AI, GenAI, and Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer specialized in healthcare solutions, with experience in medical AI, GenAI, automation, intelligent agents and deep learning. I design and integrate AI-powered systems for healthcare platforms, focusing on secure APIs, scalable architecture, and practical medical use cases that improve patient care and clinical workflows.
Epi digital school sousse
National Diploma · Computer Science Engineering
August 1, 2022 – June 30, 2025
Higher Institute of Management Sousse
Applied License · Business Intelligence
August 1, 2019 – June 30, 2022
Jammel High School
Baccalaureate · computer science
June 1, 2018 – May 31, 2019
MEDIWAVE
Artificial Intelligence Developer
July 1, 2025 – Present
India
MEDIWAVE
Artificial Intelligence Developer Intern
February 1, 2025 – June 30, 2025
India
Microsoft Certified: Azure Fundamentals
Microsoft
June 1, 2026 – Present
AWS Academy Graduate - Cloud Foundations - Training Badge
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience is highly specialized in AI/GenAI within the healthcare domain, demonstrating a clear focus and passion for this area. The projects showcase a breadth of technical skills and an ability to tackle diverse challenges within AI engineering. The certifications in Azure and AWS suggest a proactive approach to learning and adapting to industry standards. The candidate's experience level (1 year as AI Developer, 5 months as intern) indicates a strong foundational fit for an AI Engineer role, especially one focused on practical application and problem-solving in a specific industry. The diversity of technologies used across projects also points to adaptability.
Soft Skills & Operational Fit
The candidate lists Agile/Scrum, Problem Solving, Code Review, Team Collaboration, Self-Motivated, and Creative Thinking as soft skills. The project descriptions suggest an ability to work on complex, multi-faceted problems and integrate various technologies, which aligns with problem-solving and potentially team collaboration. The structured nature of the project descriptions also indicates a methodical approach. However, without direct assessment, the depth of these soft skills cannot be fully validated.