I have a broad academic and professional background, including experiences in different disciplines like operations analysis, control, and monitoring systems, software development, distributed computing and storage, machine learning, and reinforcement learning; my experiences include projects that involve working with interdisciplinary teams, across different time zones, institutions, and infrastructures.I had performed research with Deep Learning and Reinforcement Learning, using techniques such as Actor-Critic Network, DQN agents, and Convolutional Neuronal Networks. I am also proficient in signal processing, detection theory, and adaptive filter design, using algorithms like NLMS, Kalman Filters, FxMLS, Neuman Person detectors, matching filters, Bayesian estimators and detectors. During my years working at the oil and gas industry, I acquired experience in artificial lift systems, well intervention, workover tools, as well as Supervisory control and data acquisition (SCADA) systems. My technical and research background, as well as my industry experience in operations, make me a strong consultant for projects that involve interdisciplinary work and disruptive technologies. I am team-oriented and I believe in data-driven decisions. I like challenging problems that involve a strong technical background but I am convinced that administrative control, talent development, and good work environments are fundamental for achieving outstanding results.
Listed skills include Electronics, Networking, Linux, Programming, and 45 others.