Ginson Mathew

Working as a partner for Audi AG (contract) for validation of their L3 driving stack. I'm responsible for Software Integration and Automation

Working Model : Nexus Scrum

- Facilitate communication between different vendors of Audi for timely release of the software.

- Validate the software releases from the vendors of Audi against the given Feature Release Plan(FRP) and requirements.

- Flash the software on to hardware and analyze logs.

- Automate the integration and testing process using Python3, GitHub actions, batch scripting.

- Update the Audi AG team regarding the challenges and progress

Adaptive Autosar development in C++14 for Honda's parking stack.

Working Model : Agile Scrum

- Implement software components (SWC) in C++14 using KSAR Adaptive Autosar Stack

- UML diagram creation

- Automation and Tooling

- Integration of SWC into Qualcomm Mx 4.0 premium board.

- Code review and mentoring junior developers

Worked as a ROS Framework consultant for Magna.

- Porting of ADTF filters from Windows to ROS 1/2 nodes on Linux using C++14/Python

- Cross compiling computer vision algorithms for RADAR sensor written in windows to linux

- Support Magna's customers in adoption of ROS Framework on Linux

- Software in Loop (SIL) package creation and support internal teams within Magna with respect SIL usage and feature additions

- Automation of SIL pipeline using Python and bash scripting

- Tools to convert data from ROS to ADTF and vice-versa.

Worked as Software partner for BMW AG (contract). Responsible to speed up the software development process.

Working Model : LargE Scale Scrum (LESS)

- Worked on feature development in C++14 for Perception stack, adapt speed to traffic signs and on Central Sensor Cleaning Management (CSCM) for Coordination stack.

- Ported CMake build system to Bazel

- Writing CI jobs to run re-processing pipeline, code quality checks, KPI report generation using Zuul pipeline

- KPI visualization using Grafana/InfluxDB

- Writing software requirements

Worked as a computer vision/ML engineer.

Working Model : KPIT V model

Responsibilites:

- Computer vision algorithm development for Day/Night time pedestrian using C and porting it to TDA2x board.

- Camera fusion for blindspot removal in Python

- Data labelling tool creation using TKinter/Python

Computer vision algorithm development in C/MFC for surround view system using Opencv.