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AI Engineer with 8+ years in LLM Evaluation & Benchmarking
AI/ML Engineer & PMP-certified Project Leader with completed PMI Certified Professional in Managing AI (PMI-CPMAI)™ credential actively seeking new opportunities. Combines certified project management and hands-on AI/ML development expertise with strong analytical problem-solving and project execution skills for strategic deployment of complex models. Experienced across the end-to-end ML pipeline from data collection to production deployment—using PyTorch, YOLO architectures, and Generative AI. Currently working as a Research AI Engineer on LLM evaluation and benchmarking, focused on measurement frameworks, performance validation, and reproducible comparisons to inform model selection and governance.
Self-Paced AI Pathway
Continuous Professional Development · AI & ML
August 1, 2024 – Present
National Engineering School of Monastir (ENIM)
Master of Engineering · Mechanical Engineering
August 1, 2015 – June 30, 2018
Preparatory Institute for Engineering Schools, Monastir
Preparatory Classes · Mathematical & Technical Foundation
August 1, 2013 – June 30, 2015
Abundant
Research AI Engineer
February 1, 2026 – Present
US
Smartica Solutions
Machine Learning Engineer
June 1, 2025 – February 1, 2026
Tunisia
Smartica Solutions
Machine Learning Intern
January 1, 2025 – June 1, 2025
Tunisia
Industrial companies
Project Engineer
April 1, 2018 – August 1, 2024
Tunisia
AI Health Agent
June 1, 2026 – Present
Developed AI Health Agents, a personalized health and fitness planning application, utilizing a dual-agent architecture (Dietary & Fitness Experts) for customized plans. Engineered a multilingual, production-ready system (English, French, Arabic support) for real-time plan generation using the Google Gemini 2.5 Flash model. Implemented advanced features including an interactive Q&A system and session state management on a Streamlit frontend for seamless user experience. Technologies: Google Gemini 2.5 Flash, Streamlit, Python, Agent-based Architecture (Agno framework), Multilingual Systems, Session Management.
View ProjectIntelligent B2B Sales Automation Platform
June 1, 2026 – Present
Developed end-to-end sales automation pipeline for lead generation, reducing manual prospecting time by 80% through personalized outreach campaigns. Integrated web scraping (Serper API) to filter and extract potential client data and contact information by industry, location, and size. Implemented GPT-40 powered personalization engine to generate contextually relevant emails and built an an automated delivery system with analytics tracking. Designed intuitive Streamlit interface enabling non-technical users to execute complex lead generation workflows with simple parameter inputs. Technologies: OpenAI GPT-40 API, Python, Streamlit, Serper API, Pandas, Email Automation, Data Analytics.
View ProjectThe Nutritionist
June 1, 2026 – Present
Developed The Nutritionist, an AI-Powered Food Analysis Platform, utilizing full-stack architecture to perform real-time nutritional analysis from single food images. Engineered multimodal AI integration (via the Google Gemini API) to provide detailed macro- and micronutrient breakdowns, health assessments, and personalized dietary recommendations. Technologies: FastAPI, Python, Google Gemini API, Multimodal AI, REST API, Chart.js, Full-Stack Development, Data Visualization, Image Preprocessing (Pillow).
View ProjectProject Management Professional PMI-CPMAI™
PMI
June 1, 2026 – Present
AI Prompt Engineering for Project Managers
PMI
June 1, 2026 – Present
Project Management Professional PMP®
PMI
June 1, 2026 – Present
Foundational Generative AI
iNeuron
June 1, 2026 – Present
Generative AI Overview for Project Managers
PMI
June 1, 2026 – Present
AI Agents Fundamentals
Hugging Face
June 1, 2026 – Present
Complete Computer Vision Bootcamp With PyTorch & Tensorflow
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects like 'The Nutritionist' and 'AI Health Agent,' showcases initiative and a passion for applying AI in various domains. Their experience in both research (LLM evaluation) and deployment (AI agents, chatbots) indicates a versatile skill set. The continuous professional development in AI/ML, despite a mechanical engineering background, highlights a strong commitment to the field and a proactive learning attitude, which aligns well with a dynamic, innovation-driven culture. The project management certifications also suggest an organized and goal-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and project execution skills, evidenced by their project management background and successful deployment of AI solutions. Their experience in designing evaluation tasks for LLMs suggests a meticulous and analytical approach. The ability to work with multilingual systems and develop user-friendly interfaces (Streamlit) indicates good user-centric design thinking. The transition from Project Engineer to AI/ML roles shows adaptability and a strong drive for continuous learning.