
Ing. Swaroop Badekara
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Swaroop Badekara
- Current 5 years and 2 months, since Apr 2021
Analog/Mixed Signal Design Engineer
pmdtechnologies ag
Design of High performance ADC for CMOS image sensors.
- 7 months, Oct 2017 - Apr 2018TU Chemnitz
Master Thesis in first order 10-bit Sigma Delta ADC in 0.18 um technology.
– The full delta sigma design includes DS modulator and Sinc2 decimation filter. – Design of switched capacitors, OTA, high speed clocked comparators, D-flip flops, adders, averagers, hold registers etc., – Non-ideal effects have been investigated in accordance with different feedback topology an their impact quantified. – Performing Montecarlo/corner simulations for further analysis.
- 4 months, May 2017 - Aug 2017TU Chemnitz
Project Work in Integrated circuit design K-Delta-1-Sigma-Modulator
The main objective of the task was to design a 2 MHz bandwidth, K-path deltasigma (KD1S) converter with 6-bit ENOB. – New concept of sharing the op-amp across K-paths to realize a (KD1S) topology.
- 10 months, Jun 2016 - Mar 2017
Research Project Software controlled reliability testing of RF MEMS switches.
Fraunhofer ENAS
– Worked on Creating an approach/concept to a software solution to enable a software controlled reliability test of RF MEMS switches. – Designing test setups for component level measurements, switching parameters, lifetime calculations, contact resistance degradation etc.
Ausbildung von Swaroop Badekara
- Current 7 years and 8 months, since Oct 2018
High performance ADC for CMOS Image sensor
Universität Siegen
- 3 years and 6 months, Oct 2014 - Mar 2018
Micro and Nano Systems
Technische Universität Chemnitz
Micro-system Design, Advance Integrated Circuit Technology, CMOS VLSI Design, Micro and Nano Devices and Reliability Engineering.
- 4 years, Aug 2010 - Jul 2014
Electronics and Communication Engineering
Visvesvaraya Technological University
CMOS VLSI, Analog and Mixed Mode VLSI Design, Linear IC’s, Analog Electronic Circuits, Digital signal processing and Signals & Systems
Sprachen
German
B1-B2 (Gute Kenntnisse)
English
C2 (Verhandlungssicher / Muttersprachlich)
Hindi
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