Habib-allah Kechout is a Data Engineer with eight years of experience, currently building automatic quality estimation systems for neural machine translation at Quantmetry using multilingual transformer models like XLM-R and LaBSE. He combines a solid software engineering background with focused research experience in NLP and model optimization, having previously developed NMT QE solutions at Lingua Custodia and compressed CNNs for real-time object detection during a research internship. Comfortable across the ML lifecycle, he designs, tests, and deploys production-ready pipelines while keeping models lightweight for resource-constrained environments. Based in Paris, he holds master’s degrees in Computer Science and in Machine Learning & Data Science, blending academic rigor with applied engineering. Colleagues describe him as eager to learn and thrive when presented with technically challenging problems, often finding practical optimization gains that are not immediately obvious.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Ecole nationale Superieure d'Informatique (ESI)
The National High School of Mathematics
Master's degree, Machine Learning & Data Science, Master's degree, Machine Learning & Data Science at Université de Paris
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