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Saul Aaron Arellano Tirado is listed as Machine Learning Engineer // Biomedical Engineer at SNGULAR, a company with 610 employees, based in Mexico City, Mexico, Mexico. AeroLeads shows a matched LinkedIn profile for Saul Aaron Arellano Tirado.
Saul Aaron Arellano Tirado previously worked as Machine Learning Specialist at Sngular and Machine Learning Engineer at Samsung Srt. Saul Aaron Arellano Tirado holds Msc. Computational Modeling And Simulation Track In Life Sciences, Computer Science from Technische Universität Dresden.
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I am a former biomedical engineer and I have a master degree in Computing Modelling and Simulation applied to Life Sciences, I specialized in biosignal processing with Deep Learning techniques. I have 2.5 years of experience as a Field Service Engineer for medical devices and 1 as Imaging specialist with proven training in X-ray and MRI. I love programming, and in the last 3 years I have specialized in medical data processing classification, segmentation, and grouping through Machine Learning Technics. My expertise is python especially Pytorch and libraries to process data. Furthermore I had developed some data visualization in web applications.
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A career timeline built from the work history available for this profile.
Mexico
Developed a Drug Shortage Prediction Model: Utilized neural networks to forecast potential shortages, enhancing supply chain efficiency for pharmaceutical companies.Data-Driven Insights: Leveraged data science techniques to analyze and interpret relevant pharmaceutical data, providing actionable insights for better decision-making.Focus on Precision.
Tijuana, Baja California, Mexico
Adaptation of machine learning models to meet research company requirementsImplementation of cutting-edge models like YOLO and S3R for video classification
Dresden, Saxony, Germany
Designed a user-friendly interface for machine learning models that help surgeonsdetect tumors in real time Integration different libraries such as Pytorch, ROS, OpenCV and PyQt5 Using PyTorch for building CNN models for depth monocular estimation(TransferLearning)
Dresde, Sajonia, Alemania
Conducted research on ECG characterization using Neural NetworksStudied the state of the art of Bluetooth LE for Nordic Devices (microcontrollers)Implemented Neural Networks in microcontrollers (TinyML)Deployment of a CNN model for EEG characterization using GPU parallelism with88% accuracy
Planned and installed hospital equipment such as CPR, surgical lighting, vital signsmonitors, ventilation systems, sterilization devices, and surgical bedsMaintained imaging services (Xray and MRI) for SIMAD and ESAOTE devicesFollowed software engineering best practices such as version control and codereview for firmware updates
Mexico City, Mexico
State of the art of the project, market analysis, funding, coordination.
Mexico City, Mexico
Preventive and corrective maintenance of oscilloscopes, amplifiers, and computers. Animal care. Doing statistics analytics and control dynamics.
Argentina
Sterilization maintenance and Operating rooms
Other employees you can reach at sngular.team. View company contacts for 610 employees →
Elier Efren Mata Piña
Colleague at Sngular
Mexico City, Mexico, Mexico
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NM
Nuria Montero Vázquez
Colleague at Sngular
Madrid, Community Of Madrid, Spain, Spain
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FD
Francisco Daniel Gómez Álvarez
Colleague at Sngular
Mexico City, Mexico, Mexico
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MR
Manuel Rangel
Colleague at Sngular
Badajoz, Extremadura, Spain, Spain
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JE
Juan Eduardo Ortega Carrasco
Colleague at Sngular
Mexico City Metropolitan Area, Mexico
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PS
Pedro Sánchez Villarreal
Colleague at Sngular
Greater Sevilla Metropolitan Area, Spain
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MI
Mood Institut Aix
Colleague at Sngular
Marseille, Provence-Alpes-Côte d'Azur, France, France
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IP
Ignacio Pastor
Colleague at Sngular
United States, United States
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NS
Nestor Sánchez Bermejo
Colleague at Sngular
Valencia, Valencian Community, Spain, Spain
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AG
Antonio Guridi
Colleague at Sngular
Seville, Andalusia, Spain, Spain
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Activities and Societies: Machine Learning, Python , TensorFlow, PyTorchCombines topics of modeling (data science, machine learning.
Biomedical equipment design ( electronic and circuit development to be used in humans), and evaluate its safety, efficiency, and.
Preparation of chemical substances and how to work in a laboratory. To analyze samples of air, and water or monitor certain compounds in.
Quick answers generated from the profile data available on this page.
Saul Aaron Arellano Tirado works for SNGULAR.
Saul Aaron Arellano Tirado is listed as Machine Learning Engineer // Biomedical Engineer at SNGULAR.
Saul Aaron Arellano Tirado is based in Mexico City, Mexico, Mexico while working with SNGULAR.
Saul Aaron Arellano Tirado has worked for Sngular, Samsung Srt, National Center For Tumor Diseases (Nct) Heidelberg, Fraunhofer Iis, and Mantenimiento Preventivo Y Correctivo (Mpc).
Saul Aaron Arellano Tirado's colleagues at SNGULAR include Elier Efren Mata Piña, Nuria Montero Vázquez, Francisco Daniel Gómez Álvarez, Manuel Rangel, and Juan Eduardo Ortega Carrasco.
You can use AeroLeads to view verified contact signals for Saul Aaron Arellano Tirado at SNGULAR, including work email, phone, and LinkedIn data when available.
Saul Aaron Arellano Tirado holds Msc. Computational Modeling And Simulation Track In Life Sciences, Computer Science from Technische Universität Dresden.
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