Carles Petit is a Machine Learning Engineer with a decade of experience and a PhD in Bioengineering, combining deep research expertise with hands-on production ML at scale. He has driven fraud prevention and automation initiatives at Amazon—finding a $500k+ payment loophole and building low-latency models and orchestration systems that supported 100% order automation pilots—while more recently developing foundational behavioral and customer-embedding Transformer models. Comfortable across the ML lifecycle, he pairs Python/PyTorch model development with SQL/PySpark data engineering and ML Ops readiness to deploy robust workflows in new markets. His background in biomedical imaging and graph-based crime prediction highlights a talent for turning complex, noisy data into actionable features and interpretable results. Based in Austin, he also brings DevOps/SRE sensibilities (Datadog Ambassador) that help bridge research, engineering, and operational reliability.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Telecommunications Engineering, Bachelor of Science - BS, Telecommunications Engineering at UPC School (Universitat Politècnica de Catalunya)
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, GPA: 3.8/4.0, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, GPA: 3.8/4.0 at Illinois Institute of Technology
Broadband Networks, Broadband Networks at Aalborg Universitet
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Carles Petit - Machine Learning Engineer at Ensemble IP