Sharath Kumar Ravi Kumar
System Architect
Summary
Experienced System architect with over 9 years of experience in Automotive software, specializing in ADAS and BCM. Excellent reputation for resolving problems and finding frugal solutions. With a unique combination of System and Software expertise, I look forward to take challenging responsibilities across the entire software development cycle.
Overview
11
11
years of professional experience
8
8
years of post-secondary education
Work History
ADAS System Architect
BGSW
11.2021 - Current
- Responsible for JLR Front video camera system architecture
- Maintain system architecture in EA, Maintain System requirements in DOORS, find solutions for novel problems and bugs by working along with several stake holders notably: Platform system architects for Computer vision algorithm & HW-SW interfaces, SW developers from Basic software of front camera and System of Systems.
- Seldom work with SW architect and core software in c++ for understanding the sw level implementations.
Technical Leader - ADAS/AD and BCM
RNTBCI
08.2013 - 11.2021
- ADAS System E/E architect for Longitudinal and Lateral systems.
- System owner for Distance warning feature and System co-owner for AD longitudinal Level1 evo. The work involved developing system requirements for AD's behavior in terrain based scenarios.
- System Simulation test leader for AD Level 1.
- Re-simulation data analysis for AEB.
- Established BCM HIL test bench by integrating BCM ECU with Vector FPGA bench.
- Complete unit and system testing responsible for Simulink based BCM software.
Education
Master of Science - Computer Science
Georgia Institute of Technology
Atlanta, United States 09.2018 - 08.2022
Bachelor of Engineering - Instrumentation
Madras Institute of Technology
Chennai, India 05.2009 - 05.2013
Skills
System Architecture
undefinedProject masters
1. Using projective geometry and homography, the project involved finding the markers in a video and projecting another video within the marked borders. Later the project was evolved to use features on a wall and find a suitable area for projecting the video.
2. Finding the optical flow vectors for moving objects in a video using Lucas-Kanade. The optical flow vectors shall help in determining the direction and motion of the objects.
3. Tracking of vehicle using Kalman filter and tracking of pedestrians (with occlusion) with particle filters.
4. Satellite image classification using vanilla CNN and ResNet-18 (with knowledge distilled from ResNet-50 and ResNet-101 models)
Timeline
ADAS System Architect
BGSW
11.2021 - Current
Master of Science - Computer Science
Georgia Institute of Technology
09.2018 - 08.2022
Technical Leader - ADAS/AD and BCM
RNTBCI
08.2013 - 11.2021
Bachelor of Engineering - Instrumentation
Madras Institute of Technology
05.2009 - 05.2013
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