
Ing. Ashutosh Badave
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Ashutosh Badave
AUTOSAR, BSW - CDD, Ethernet, CAN, RTE. Embedded C. Vector: Davinci Configurator, Developer, Canoe, CANAPE. TC387 multicore development. Lauterbach, Trace32 debugging and testing.
- 1 year and 7 months, Sep 2019 - Mar 2021
Intern | Embedded Software Engineer
Becker Avionics GmbH
Project: obstacle avoidance based on a depth camera and FMCW radar for autonomous navigation of unmanned aerial vehicle (UAV) Tasks: 1. Research and development of environmental perception and obstacle avoidance system 2. Depth camera and FMCW radar sensor data processing and algorithm development 3. Implementation of communication protocols ( serial, SPI, and UDP ) with sensor 4. FMCW radar(77GHz) configuration, calibration, & testing for different range and resolutions 5. Maintaining a Git repository
- 2 years, Oct 2016 - Sep 2018
Senior Embedded Engineer
HELLA India Automitive Pvt Ltd
1. Design and development of Body Control Module in AUTOSAR architecture 2. Debug, analyze, and simulate the BSW module 3. Responsible for AUTOSAR RTE, CAN, COM, CDD, OS Schedule, configuration 4. Continuous Integration using PTC 5. Build feature code, integration, and hard-software testing on Bench, LABCAR, and on-vehicle in customer plant 6. Production and customer issue resolutions 7. Collaboration with hard-software testing, quality team for production release
- 2 years and 1 month, Oct 2014 - Oct 2016
Software Engineer
KPIT Technologies pvt ltd
1. Development of embedded software for automotive applications. 2. Design, development, and simulation using Simulink and Embedded C 3. Perform MIL, SIL, and HIL 4. Requirement review, Code review, and test case preparation 5. Maintain project repository
Ausbildung von Ashutosh Badave
- 5 months, May 2020 - Sep 2020
Aerial Robotics Engineer
Udacity
- 4 months, Mar 2020 - Jun 2020
Sensor Fusion Engineer
Udacity
I worked on below projects: 1. Lidar Obstacle Detection 2. Camera-Based 2D Feature Tracking 3. 3D Object Tracking using Lidar and Camera fusion 4. Radar Target Generation and Obstacle Detection 5. Unscented Kalman Filter design using Lidar and Radar data for obstacle detection and avoidance
- 2 years and 7 months, Sep 2018 - Mar 2021
Analytical instruments, measurement and Sensor Technology
Coburg University of Applied Sciences
Subjects: 1. Automotive Electronics in the focus of electric drive system 2. Sensor Technology and measurements using Oscilloscope, function generator, DIGITAL MULTIMETER, Three-PHASE/DC power supply, QCR meter 3. Computer-based measurement technology 4. Digital Signal Processing 5. Mathematical data analysis
- 4 years, Jul 2010 - Jun 2014
Electronics and telecommunication Engineering
University of Pune
Automotive Electronics, Digital Signal Processing, Embedded Systems, Control system
Sprachen
German
A1-A2 (Grundkenntnisse)
English
C1 (Fließend)
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