Eduardo Da Silva is a Lead Consultant Data Engineer with 14 years of experience blending data engineering, machine learning, and research-driven problem solving across fintech, aviation, and enterprise domains. He holds a Ph.D. in Networks and Computer Architecture and completed postdoctoral work in machine learning for vehicular networks and autonomous driving, bringing academic rigor to production data platforms. At Thoughtworks he now advises on scalable data architectures, after driving cost-saving Spark and streaming ingestion initiatives at Boa Vista and building ML-powered prediction and graph/NLP solutions for CINQ and SITA. Comfortable from low-level system design to cloud-native dataflows, he has a track record of reducing cloud costs, improving identity resolution with knowledge graphs, and turning ambiguous NLP signals into operational models. Based in Paraná, Brazil, he combines long-term research collaborations (volunteer researcher at UNICAMP) with hands-on delivery, making him equally effective in prototyping novel ML approaches and shepherding them into robust, secure pipelines.
14 years of coding experience
16 years of employment as a software developer
PostDoc, Machine Learning / Veicular Ad Hoc Networks / Autonomous Driving, PostDoc, Machine Learning / Veicular Ad Hoc Networks / Autonomous Driving at Federal University of Parana
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