Andrei Simion-Constantinescu is a Machine Learning Engineer with nine years of experience building production ML systems and research-grade deep learning models across industry and academia. At CurveCatch he owns the end-to-end lifecycle of the core fit-prediction model, iterating from baseline analysis to SageMaker-deployed endpoints and integrating features via dbt and Snowflake to measurably improve business metrics like revenue and NPS. Previously he drove self-supervised computer vision research at TU/e and TU Delft, applying contrastive learning to agricultural and vertical-farming problems in collaboration with industry partners such as Signify. He combines strong neural-network expertise (PyTorch, TensorFlow) with pragmatic software engineering—AWS Lambda, Django, Linux—so models move reliably from prototype to production. Comfortable teaching and collaborating across teams, he pairs academic rigor with product-focused validation of model impact. Outside work he documents a global perspective through travel photography and a public travelgram, reflecting a curiosity that often informs creative problem solving.
9 years of coding experience
6 years of employment as a software developer
High School Diploma Mathematics and Computer Science, High School Diploma Mathematics and Computer Science at Colegiul National Sfantul Sava Bucuresti
POLITEHNICA București National University for Science and Technology
Master's degree Computer Science (Data Science & Technology Track), Master's degree Computer Science (Data Science & Technology Track) at Delft University of Technology
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Andrei Simion-constantinescu - Machine Learning Engineer at CurveCatch