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Data & AI Engineer by title, creative problem-solver by nature. I thrive on making machines smarter, data clearer, and ideas real. With 4 years of hands-on experience and an ever-growing toolbox, I blend solid engineering with a spark of curiosity. Whether in a team or on a side quest, I’m all about building cool stuff that works, and works well.…

Abdelhakim Hattouti

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Data & AI Engineer by title, creative problem-solver by nature. I thrive on making machines smarter, data clearer, and ideas real. With 4 years of hands-on experience and an ever-growing toolbox, I blend solid engineering with a spark of curiosity. Whether in a team or on a side quest, I’m all about building cool stuff that works, and works well.…

Available to hire

Data & AI Engineer by title, creative problem-solver by nature. I thrive on making machines smarter, data clearer, and ideas real.

With 4 years of hands-on experience and an ever-growing toolbox, I blend solid engineering with a spark of curiosity. Whether in a team or on a side quest, I’m all about building cool stuff that works, and works well.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

French

Fluent

English

Fluent

Work Experience

Data & AI Engineer at Capgemini Engineering

March 1, 2021 - Present

Developed Python pipelines to automate analysis of scanned technical documents using OCR and template matching. Designed dashboards for high-performance computing monitoring, simplifying manual work. Researched and implemented optimization techniques for Transformer models focused on CPU-only deployments, achieving significant improvements in size and inference speed. Enhanced aircraft trajectory performance with reinforcement learning and performed energy efficiency analyses for inference workloads. Documented and transferred AI solutions effectively to clients.

Data & AI Engineer at Capgemini Engineering

March 1, 2021 - Present

Capgemini Engineering – Data & AI Engineer working for Airbus and internal R&D. Document Intelligence for Aircraft Manuals involved building Python pipelines to analyze scanned PDFs/images using OCR and template matching to extract pictograms and numerical data, with a focus on lightweight CPU-friendly deployment. Built an automated HPC activity monitoring dashboard to drastically reduce manual work and improve operational visibility. In R&D, optimized Transformer models for CAD workloads (e.g., DeepCAD) with quantization and pruning via Intel Neural Compressor, achieving ~50% model size reduction and ~92% faster inference after fine-tuning on AWS, accompanied by internal documentation to enable future lightweight AI efforts. Also contributed to Reinforcement Learning for Aircraft Trajectories (10% performance gain) and Energy Efficiency Analysis for Inference Workloads (guiding deployment decisions). Internship experience included a multimodal Emotion Recognition system (text, audio

Data & AI Engineer at Capgemini Engineering

March 1, 2021 - Present

Document Intelligence for Aircraft Manuals (Airbus): developed Python pipelines to automate analysis of scanned documents (PDFs/images) with OCR and template matching for pictograms and numerical data; exploring CPU-friendly, scalable deployment. High-Performance Computing Activity Monitoring (Airbus Helicopters): designed automated dashboards to reduce manual work and improve operational visibility. Transformer Model Optimization for CAD workloads (Capgemini Engineering R&D): researched CPU-only optimization techniques (quantization, pruning) via Intel Neural Compressor, achieving 50% model size reduction and 92% faster inference after fine-tuning on AWS; authored internal R&D docs. Reinforcement Learning for Aircraft Trajectories (Airbus): improved trajectory performance by 10% through reward/hyperparameter tuning and knowledge transfer. Energy Efficiency Analysis for Inference Workloads (R&D): analyzed hardware choices to guide deployment cost/performance trade-offs. Human Emotion R