Tim Smole Email and Phone Number
Tim Smole phone numbers
Experienced Machine Learning Engineer with a demonstrated history of working in the higher education industry. Skilled in Python (Programming Language), Deep Learning, TensorFlow, Software Development and Android Development. Strong engineering professional with a Master’s Degree focused in Computer Science from University of Ljubljana, Faculty of Computer and Information Science.
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Machine Learning EngineerSmart Blood Analytics Swiss Sa Feb 2021 - PresentZurich, Zurich, Switzerland
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Computer Vision EngineerViabix Ltd Apr 2018 - Feb 2021Stockholm, Stockholm County, SwedenImplementation of training, validation and serving pipelines for instance segmentation using Tensorflow implementation of Mask-RCNN.
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Machine Learning EngineerUniversity Of Ljubljana, Faculty Of Computer And Information Science Mar 2019 - Nov 2020Večna Pot 113, 1000 LjubljanaWorking on SILICOFCM (European Union’s Horizon 2020 research and innovation project) using predictive modeling using data mining algorithms for development of cardiomyopathy risk stratification tool and disease progression system. -
Java Software DeveloperMedius D.O.O. Mar 2014 - Apr 2019Vrhovci, Cesta X 19, 1000 LjubljanaDevelopment of Vaadin and Spring MVC web applications. Implementation of Cipurse virtual cards. Android application development.
Tim Smole Skills
Tim Smole Education Details
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Computer Science
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Bachelor’S Degree
Frequently Asked Questions about Tim Smole
What company does Tim Smole work for?
Tim Smole works for Smart Blood Analytics Swiss Sa
What is Tim Smole's role at the current company?
Tim Smole's current role is Machine Learning Engineer at Smart Blood Analytics Swiss SA.
What is Tim Smole's direct phone number?
Tim Smole's direct phone number is +386 820 *****
What schools did Tim Smole attend?
Tim Smole attended University Of Ljubljana, Faculty Of Computer And Information Science, University Of Ljubljana, Faculty Of Computer And Information Science.
What skills is Tim Smole known for?
Tim Smole has skills like Java, Software Development, Android Development, Programming, Deep Learning, Computer Vision, Tensorflow, Data Mining, Python, Keras, Docker, Artificial Neural Networks.
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