Summary
Morteza Hosseini is an AI/ML Engineer with nine years of hands-on experience applying data science, MLOps and DataOps to real-world problems across academia and industry. He has built and productionized high-accuracy energy-consumption models on Azure and Spark for decarbonization at CarbonLaces, and now contributes to AI/ML research and engineering at The University of Manchester. His background spans stochastic genomic modeling and efficient C++ implementations from research roles in Europe, plus a PhD in Computer Science from a joint Portuguese program, blending rigorous theory with production software skills. Morteza also develops backend software and reusable Python packages for classification and clustering of complex chemical and biological data, demonstrating a knack for end-to-end pipelines. He combines research-grade modeling with pragmatic deployment experience, making him adept at turning novel algorithms into scalable, maintainable systems.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Porto, Aveiro, Minho (joint)
English, Persian, Portuguese