
NLP Engineer with 1+ years in Generative AI & LLM
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NLP Engineer with 2+ year of professional experience specializing in GEN AI, LLM, RAG and AI automation. Passionate about designing intelligent, solutions that robust AI transform complex business needs into high-performance applications.
Faculty of Economics and Management
Master · Decision Engineering
August 1, 2021 – June 30, 2024
Faculty of Economics and Management
Bachelor · Econometrics
August 1, 2018 – June 30, 2021
Lycée qualifiant Ibn Abbad
International Baccalaureate · Physics-Chemistry (French Option)
June 1, 2017 – May 31, 2018
Bvlab
NLP Engineer
November 1, 2024 – Present
Casablanca, Casablanca-Settat, Morocco
Bvlab
NLP Engineer Intern
August 1, 2024 – November 1, 2024
Casablanca, Casablanca-Settat, Morocco
BFS Consulting
Data Analyst Intern
February 1, 2024 – May 1, 2024
Casablanca, Casablanca-Settat, Morocco
Automated Financial Analysis
June 1, 2026 – Present
Established robust n8n pipelines for automated collection, in-depth analysis, and concise summarization of financial news. Implemented periodic intelligent email dispatches containing critical analyses, emerging trends, and source references.
Automated Real Estate Monitoring
June 1, 2026 – Present
Developed a sophisticated sector monitoring system for real estate, featuring advanced extraction, classification, and synthesis of regulatory updates and industry news. Automated alert generation and summary reporting for key stakeholders.
Career Guidance Platform
June 1, 2026 – Present
Developed an innovative AI application using Streamlit, integrating RAG, advanced document extraction (PDF/images), comprehensive profile analysis, and intuitive voice interactions to provide personalized career guidance.
AI Automation Project
June 1, 2026 – Present
Implemented an advanced AI pipeline to automate the processing of Bills of Quantities, encompassing intelligent parsing, classification, cost generation, dynamic updates to Google Sheets, prompt optimization, and efficient batch processing.
AI Assistant for Claims
June 1, 2026 – Present
Developed an intelligent AI assistant capable of diagnosing customer claims, extracting key information, generating tailored responses, and automatically logging cases for streamlined operational follow-up.
AI-Based Logistics Optimization
June 1, 2026 – Present
Developed a solution for delivery planning optimization using Google OR-Tools, optimizing order-to-vehicle assignment and route generation with real-time distance calculations and time window constraints.
Python for Data Analysis & Visualization
Udemy
June 1, 2026 – Present
Deep Learning Mastery
Udemy
June 1, 2026 – Present
Introduction to Generative AI
June 1, 2026 – Present
Machine Learning in Python
365 Data Science
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards innovation and practical application of AI technologies across diverse sectors (finance, real estate, logistics, customer service). This breadth of experience suggests an adaptable individual who can thrive in dynamic environments and contribute to varied challenges. The focus on automating and optimizing business processes aligns with a results-oriented culture. The continuous learning indicated by certifications in Generative AI, Deep Learning, and Machine Learning also points to a growth mindset, which is a strong cultural fit for technology-driven organizations.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong problem-solving orientation and an ability to translate complex business needs into robust AI solutions. The diverse range of projects, from financial analysis to logistics optimization and real estate monitoring, suggests adaptability and a proactive approach to applying AI in various domains. The experience with automation tools like n8n and integration with APIs indicates a focus on operational efficiency and scalability. The candidate's current role as an NLP Engineer at Bvlab further reinforces their operational fit for a similar senior role.