À propos de Abdellah
Data & Machine Learning Engineer | AI Specialist | MLOps Enthusiast
I’m Abdellah Hallou, an AI and Data Engineer with strong expertise in designing, deploying, and optimizing data-driven solutions.
Over the past few years, I’ve built a diverse portfolio of projects that combine data engineering, machine learning, and MLOps, from intelligent chatbots and computer vision apps to scalable data pipelines and cloud-based ML experiments.
🔹 What I do best
- Machine Learning & AI: NLP, ASR, deep learning, and predictive modeling.
- Data Engineering: pipelines with Celery, RabbitMQ, MongoDB, Airflow, Docker.
- MLOps: Kubeflow experiments, cloud deployment, model lifecycle management.
- Optimization: Improving analytics systems (Time and Resources).
- End-to-end solutions: from data collection and cleaning to production-ready ML systems.
🔹 Highlights
- Winner of multiple AI competitions (Orange Morocco AI Competition, Techathon’23, Huawei Tech4Good, ONRST chatbot challenge).
- Experienced in scalable architectures for large-scale data and ML projects.
- Solid foundation in software engineering and design patterns.
- Hands-on with LLM prompting and knowledge unification.
Arabe
Bilingue ou natif
Français
Capacité professionnelle complète
Anglais
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- DeepSearch LabsData ScientistHIGH TECHavril 2023 - septembre 2025 (2 ans et 5 mois)London, UK
- Architected, Improved and managed data and ML pipelines using Apache Airflow, celery, Kubeflow, and cloud services.
- Developed automation processes for system operations in a cloud environment using Bash script
- Redesigned and rearchitected the data infrastructure and ETL pipelines, saving 3 hours of daily processing time.
- Implemented advanced algorithms for optimizing ML pipeline performance and reducing resource consumption by 20%.
- Developed and implemented automated daemons for system operations.
- Integrated state-of-the-art machine learning models (NLP&ASR) into production systems
- Increased Coreference Resolution, Named Entity Recognition and Entity Linking accuracy
- Established a dynamic reporting system for data and analytics pipelines monitoring.
- Architected and developed end-to-end data and ML pipelines for audio and video data analysis
- Developed and implemented the DSL Speaker Mapping solution to overcome Speaker Diarization and Identification limitations.
- ENSAM CasablancaSoftware Engineer InternEDUCATION & E-LEARNINGoctobre 2022 - mars 2023 (5 mois)Casablanca, Morocco
- Worked in cross-functional team of developers, designers, and educators as the project lead for Code 212.
- Conceptualized and implemented Code 212, an innovative E-learning platform tailored for ENSAM Casablanca engineering students.
- Architected a comprehensive digital ecosystem facilitating access to online courses and industry-recognized certifications.
- Collaborated with ENSAM Casablanca to bridge the academia-industry gap, aligning course content with market demands.
- ONRSTData Scientist InternHIGH TECHjuillet 2022 - septembre 2022 (2 mois)Rabat, Morocco
- Developed and deployed an intelligent chatbot for Architeo, resulting in a 40% reduction in customer support response time.
Recommandations
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Formations
- Astronomer Certification for Apache Airflow 3 FundamentalsAstronomer2025Astronomer Certification for Apache Airflow 3 Fundamentals
- International English Language Testing System : C1British Council2025International English Language Testing System : C1