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AI Engineer with 1+ years in Machine Learning, Deep Learning, and MLOps.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate AI Engineer with hands-on experience designing and deploying end-to-end Machine Learning and Deep Learning systems (CNN, NLP, LLMs) integrated into robust production pipelines using FastAPI and Docker. Experienced in RAG architectures, LangChain agents, GenAI patterns, and MLOps (MLflow, CI/CD). Skilled across the full AI model lifecycle from data preparation and feature engineering to Kubernetes deployment and monitoring. Seeking a role to drive impactful AI solutions in a cross-functional, agile environment.
Simplon Maghreb Agadir
AI Development Training
March 1, 2026 – March 1, 2026
ISTA Ait Melloul
Specialized Technician Diploma · Full Stack Web Dev
January 1, 2023 – January 1, 2025
FST Marrakech
Bachelor's Degree · Distributed Computer Systems (SIR)
January 1, 2020 – January 1, 2023
GMC Maroc
End-of-Training Internship Full Stack Developer
April 1, 2025 – June 1, 2026
India
GMC Maroc
End-of-Study Internship Web Developer
April 1, 2023 – June 1, 2023
India
Intelligent IT Assistant
June 29, 2026 – Present
Document ingestion pipeline (PDF), semantic embedding generation, and ChromaDB vector storage. Semantic retrieval with LangChain RetrievalQA and KMeans clustering of user queries. MLflow experiment tracking, Kubernetes deployment, automated CI/CD via GitHub Actions. Secured FastAPI (JWT) with full query history persisted in PostgreSQL.
RetentionAI
June 29, 2026 – Present
Full EDA with Seaborn, OneHotEncoding and normalization of HR datasets. Model comparison (Logistic Regression, Random Forest) with GridSearchCV and MLflow tracking. Integrated a Gemini LLM to generate personalized retention plans via prompt engineering. Secured FastAPI (JWT + bcrypt), PostgreSQL history, full Docker Compose containerization.
Facial Emotion Detection
June 29, 2026 – Present
Trained a CNN (TensorFlow/Keras) to classify 7 facial emotions from real-world image data. Real-time face detection with OpenCV and Haar Cascade; data preprocessing and augmentation. Integrated into a secured FastAPI service with PostgreSQL persistence via SQLAlchemy. Automated unit tests and continuous deployment via GitHub Actions.
Python Programming Essentials 1
Cisco Networking Academy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, covering computer vision, supervised ML, and NLP/RAG, shows a broad interest and adaptability, which is positive for cultural fit in an innovative environment. The target role of 'AI Engineer' aligns well with the candidate's project focus and stated career goals. The breadth of skills across ML/DL, GenAI, MLOps, backend, and infrastructure indicates a versatile individual who could contribute to various aspects of an AI team. The personal projects demonstrate initiative and self-driven learning, which are valuable traits.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The use of CI/CD and automated testing points to an understanding of operational best practices. The diverse project portfolio implies adaptability and a willingness to learn new technologies. However, without direct interview data, assessing collaboration, stress handling, and communication in a team setting is difficult.