Deep Learning Engineer, Software Developer

Programming Languages: Python 3+ years (in daily use); C/C++ 1-2 years ; Java 1 year ; C#/ASP.NET MVC/ 1 year ;
Deep Learning: TensorFlow / PyTorch 3 years, in daily use ; Keras < 6 months;

Work experience:
Sinpex GmbH 10/2019 - 
KYC processes in financial sector using Natural Language Processing ( Information retrieval, Question Answering)
ZF Friedrichshafen AG: 09/2018 - 04/2019, Friedrichshafen (DE)
Master’s Thesis: Algorithm development for perception systems using deep learning methods;
Algorithm development for ADAS applications; Working with camera and lidar sensors; Unsupervised deep learning solution with TensorFlow; Algorithm benchmarking with KPIs; Visualisation in OpenCV/Pillow; Python “proof of concept” implementation; Definition of vehicle test scenarios;
ZF Friedrichshafen AG R&D Intern: 07/2018 - 08/2018, Friedrichshafen (DE)
Investigation on compatibility issues between TensorFlow and TensorRT; Testing a neural network with problematic TensorFlow layers; Define workaround for the incompatible layers to make their usage possible with TensorRT; Python “proof of concept” implementation;
Robert Bosch Kft. Software Developer Intern 07/2016 - 04/2017 Budapest (HU)
IBM RTC dashboard widget development (embedded php page) Internal framework development to visualize projects’ informations. Agile development, Tooling.

Education
Computer Science Engineering - Master’s Degree
Budapest University of Technology and Economics, Budapest  (HU)