Danilo Pena is a technical lead and researcher with eight years of experience building embedded real-time systems and applying statistical signal processing and machine learning to acoustic and biometric problems. He has advanced from firmware design for ultra-low-power IoT and home automation to leading AI-driven signal processing teams, shaping end-to-end pipelines from data collection to deployment. His work spans academia and industry—PhD-level research on robust acoustic source localization and patented embedded vision setups—informing practical solutions for noisy, real-world environments. At Ohmic and ResoSight he translated research into product-focused biometric and acoustic features, while earlier roles delivered cellular protocol stacks and modem software for commercial devices. Colleagues describe him as a hands-on technologist who bridges rigorous research with pragmatic embedded implementation, and outside work he fuels creativity through family travel, cycling and wide reading.
8 years of coding experience
12 years of employment as a software developer
Federal University of Rio Grande do Norte
Master's degree, Communication System and Automation, Master's degree, Communication System and Automation at Universidade Federal Rural do Semi-Árido
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