Aymane Chilah

Madrid, Community of Madrid, Spain

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Summary

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Rockstar

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Top School

Aymane Chilah is a computer vision expert and PhD candidate with four years of industry and academic experience building embedded ML and vision systems for industrial inspection, document processing, and forensics. He has held roles from research positions in Spanish universities to assistant professorship at the University of Twente and lead/consulting posts in companies tackling real-time imaging, 3D sensor-based battery weld inspection, and IDP. Skilled across machine learning, deep learning, OCR, NLP and image processing, he bridges theoretical research and deployable solutions for harsh industrial environments. Based in Madrid, he pairs a telecommunications and signal-processing background with project management training, enabling both deep technical work and cross-functional delivery. Notably, his career combines hands-on system integration with academic rigor, reflecting a focus on embedded ML and practical computer vision pipelines.

4 years of coding experience

7 years of employment as a software developer

Master Project Management, Master Project Management at Cerem Business School

Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Twente

Telecommunications Engineering degree, Major in Signal Processing & Communications, Telecommunications Engineering degree, Major in Signal Processing & Communications at Universidad de Granada

Spanish, French, lenguas bereberes, Árabe, English

Github Skills (49)

language-detection10

transformers10

spark-ml10

pytorch10

machine-translation10

spark10

named-entity-recognition10

entity-extraction10

snow10

python10

machine-learning10

pyspark10

onnx10

llamacpp10

text-classification10

Programming languages (3)

ScalaJupyter NotebookPython

Github contributions (5)

aymanechilah/irs_tabformer

Jan 2023 - Aug 2023

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Contributions:32 pushes in 6 months

aymanechilah/unilm

Sep 2022 - Aug 2023

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Contributions:20 pushes in 11 months

pytorchtransformer-architecturesupervisedlanguage-modelingdeep-learning

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