Eder Martins is a Staff Machine Learning Engineer based in Porto with 11 years of experience building large-scale recommendation and search systems that bridge theoretical rigor and production impact. He has driven multi-objective ranking, image-based product embeddings, and real-time personalization at FARFETCH, delivering measurable uplifts in conversion and gross profit while engineering models to serve high RPM with low latency. At SEEK and Catho he led recommender and search improvements that materially moved marketplace KPIs, and earlier roles show full-stack and streaming experience from Java to Apache Storm. Now focused on connecting generative AI with contract lifecycle management at netLex, he combines deep algorithmic foundations (MSc in Computer Science) with hands-on deployment experience across Python, Go and Scala. Colleagues describe him as someone who turns research-grade models into resilient, traffic-ready systems that improve business metrics.
11 years of coding experience
11 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Universidade Federal de Minas Gerais
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Eder Martins - Staff Machine Learning Engineer at netLex