Umakshi Sajnani
Abschluss: Masters of Science, Universität Bielefeld
Bielefeld, Deutschland
Werdegang
Berufserfahrung von Umakshi Sajnani
Bis heute 6 Jahre und 1 Monat, seit Juni 2018
Technology development Engineer
Infineon Technologies GmbH Dresden
Technology integration in a semiconductor company : Infineon Technologies
5 Monate, Mai 2017 - Sep. 2017
Chip Layout Designer
Infineon Technologies Austria AG
Chip layout design for Automotive industry product with Analog circuits
8 Monate, Aug. 2015 - März 2016
Research assistant
CITEC, Bielefeld University
While pursuing my Masters in Bielefeld University, I worked as a research assistant at Social Cognitive Systems A.G. in CITEC, Bielefeld. During this period, I integrated the Tobi EyeX Eyetracker with a Virtual Agent to give meaning to its gaze and eye movements. The virtual agent acts like an assistant to the user. The agent recognized the user's eye gaze and updated the time schedule accordingly. Virtual agent's speech and other movements were included as well
1 Jahr, Apr. 2015 - März 2016
Research assistant
Bielefeld University
While pursuing my masters at Bielefeld university, I worked as a research assistant in the Bumble Bee group at Department of Neurobiology. I programmed a GUI and integrated the RFID sensors to detect the movement timings of the bees and the correlation with other bees as they went in and out of their hives.
1 Jahr und 3 Monate, Juli 2013 - Sep. 2014
Associate System Engineer
IBM India Pvt. Ltd., Pune
I worked at IBM India as a JAVA front end application developer for 1 year. During my tenure, I was awarded the best CHAT application development award with my team.
Ausbildung von Umakshi Sajnani
3 Jahre und 6 Monate, Okt. 2014 - März 2018
Intelligent Systems (Artificial Intelligence)
Universität Bielefeld
Neuromorphic engineering, virtual reality, human machine interaction, machine learning, social brain
3 Jahre und 11 Monate, Juni 2009 - Apr. 2013
Electronics and Communication Engineering
SVNIT Surat
Analog Electronics, Wireless communications, Digital Signal Processing
Sprachen
Deutsch
Fließend
Englisch
Fließend
Japanisch
Grundlagen
Hindi
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