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AI Engineer with 1+ years in LLM, RAG, and Cloud deployments
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Assessing your cultural and operational fit
Junior AI Engineer with proven production experience building real-world AI systems: a Speech-to-Text pipeline processing 10,000+ calls/day, an HR RAG chatbot using LangChain/LangGraph, and a multilingual GPT-powered chatbot with dynamic LLM routing. Strong foundation in LLM architectures, RAG, NLP, conversational AI, and AWS cloud deployment. Seeking a junior AI/ML role with strong technical mentorship and real-world impact.
Faculty of Sciences and Technology, Tangier
Master's · Artificial Intelligence & Data Science
August 1, 2023 – June 30, 2025
Faculty of Sciences and Technology, Tangier
Bachelor's · Computer Engineering
August 1, 2020 – June 30, 2023
HCM Group
Junior AI Engineer (Internship)
September 1, 2025 – January 1, 2026
Rabat, Morocco
Circet Morocco
AI Engineer Intern
February 1, 2025 – July 1, 2025
Casablanca, Casablanca-Settat, Morocco
Vector Analytics
AI Engineer Intern
July 1, 2024 – August 1, 2024
Tangier, Tanger-Tétouan-Al Hoceïma, Morocco
HirafyNow.ma - Moroccan Artisan SaaS Marketplace
June 29, 2026 – Present
Designed and built a SaaS platform connecting Moroccan artisans with clients, currently in launch phase with 18 providers on the waitlist. Developed frontend and backend using Next.js and AWS Amplify Gen2 (authentication, storage, API). Managed the full product lifecycle: design, development, and early user acquisition.
View ProjectRAG Chatbot with Fine-tuning
June 29, 2026 – Present
Built an end-to-end RAG pipeline: document ingestion (chunking, embeddings), semantic vector search, and LLM generation. Exposed via a modular FastAPI backend with ChromaDB vector store integration. Fine-tuned a Hugging Face model on a domain-specific corpus to improve answer accuracy.
View ProjectDeep Neural Networks with PyTorch
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including a SaaS marketplace and multiple AI internships, indicates adaptability and a broad interest in applying AI across different domains. Their involvement in personal projects suggests a self-starter mentality and passion for technology, which aligns well with innovative and fast-paced environments. The range of technologies and tools used reflects a willingness to learn and integrate new solutions, contributing positively to team dynamics.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in designing and implementing complex AI solutions. Their iterative work with HR teams suggests good collaboration and user-centric development. The ability to manage full product lifecycles for personal projects indicates initiative and a proactive work attitude. The experience with monitoring and logging in production environments points to an understanding of operational stability.