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Personal data:
Mihály Csonthó
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Work experiences:
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2020.01.01 -
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| Research assistant |
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| Budapest University of Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering |
| Raw sensor fusionObject detectionImage processingCentral perception |
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2019.09.10 - 2020.01.01
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| Public Cloud engineer trainee |
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| Huawei Technologies, Budapest |
| Network monitoringCloud services monitoringProcess automation |
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2018.06.25 – 2018.10.31
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| Strategic Sourcing Trainee |
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| Knorr-Bremse Fékrendszerek Kft., Budapest |
| Support of purchasing processesCustomer relationsSAP system management |
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2017.
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| Student job |
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| Innolog Solutions Kft., Budapest |
| Time measurement for logistic processes |
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Education:
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2021. –
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| Transportation and vehicle engineering PHD |
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| BME Kálmán Kandó Doctoral School of Transportation and Vehicle Engineering | | Robust sensor fusion algorithms for supporting the perception of autonomous vehicles |
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2019. – 2021.
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| Autonomous vehicle control engineer |
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| Budapest University of Technology and Economics |
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2015. – 2019.
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| Logistics engineer |
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| Budapest University of Technology and Economics |
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2011. – 2015.
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| Mathematics-Physics |
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| Dunaújváros Széchenyi István High School |
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Skills:
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Language:
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Hungarian
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Fpreign language:
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English B2 In previous jobs, I communicated with colleagues and suppliers in English. My Master's degree was in English.
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Digital skills:
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Microsoft tools (Word, Excel, Visio)
AutoCAD, Adobe Photoshop
Programming skills Python, C#, Matlab
Basic knowledge of image processing, sensor fusion
Other skills:
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Reliability
Quick learning, adaptability
Openness to new knowledge
B type driving licence
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Fields of interest:
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My interests include sensor fusion, image processing, artificial intelligence and driver assistance systems.
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