Ousama Esbel is a Tech and ML Lead with 11 years of experience designing and shipping ML-driven software platforms in startup environments, currently architecting end-to-end services and directing research at COMPREDICT in Darmstadt. He combines hands-on full-stack and embedded deployment expertise—moving models from multivariate time-series research to vehicle ECUs and cloud APIs—with team mentorship and product-focused engineering. His background spans applied deep learning, statistical causation analysis, and building a secure “Algorithm Hub” to serve trained models in production. A published researcher with two pending ML/AI patents, he also reproduces noteworthy papers on GitHub, signaling a strong commitment to reproducible research and practical innovation.
11 years of coding experience
6 years of employment as a software developer
Technischen Universität Darmstadt
Syrian Private University (SPU)
Bachelor of Information Technology, Bachelor of Information Technology at Limkokwing University of Creative Technology
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