Summary
Eronides Da Silva Neto is a data scientist and embedded systems engineer with nine years of experience blending R&D, AI, and IoT to deliver end-to-end solutions from prototype to production. With a foundation in Computer and Electronic Engineering and ongoing PhD research in Electrical Engineering, he designs secure, data-driven applications for government and industry, including LLM- and ML-based systems at Serpro. He has led technical teams building recommendation engines, rule-based APIs, and embedded firmware for STM32 and automotive platforms, pairing strong software skills (Python, C/C++, SQL) with hardware design and PCB test experience. As a practitioner-educator he teaches postgraduate courses in Data Science and Machine Learning, translating complex analyses into storytelling dashboards and practical tools. Notably, his background spans both low-level firmware and high-level AI deployment, enabling him to bridge device-level constraints with scalable ML architectures.
9 years of coding experience
8 years of employment as a software developer
Continuing Studies, Computer and Electrical Engineering, GPA 3.79, Continuing Studies, Computer and Electrical Engineering, GPA 3.79 at Temple University
Master of Science - MS, Computer Science, Outlier Detection, Embedded Systems, Master of Science - MS, Computer Science, Outlier Detection, Embedded Systems at Centro de Informática UFPE
Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering at Universidade Federal de Pernambuco
Pós-graduação Lato Sensu - Especialização, Data Analysis and Engineering, Pós-graduação Lato Sensu - Especialização, Data Analysis and Engineering at CESAR School
Portuguese, English, Spanish, Italian