SNEHA SUDHIR SHETIYA adgg30@r.postjobfree.com

www.linkedin.com/in/sneha-sudhir-shetiya 646-***-**** Actively seeking fulltime Opportunities from January 2021. SUMMARY:

5.5 years of Automotive Industry experience together with Masters in Computer Vision/ML. Worked in the Automotive Domain for 5 years with expertise in all aspects of V-cycle right from Development to Requirements management with hands on experience in Jama from Summer Internship at Nvidia along with ISO26262 functional Safety Concepts. Masters is in Computer Vision where coursework involved Neural Networks, Image Processing, Computer Vision and research experience from EcoPRT Lab. WORK EXPERIENCE:

1. Nvidia Corporation May 2020-Aug 2020

Designation: Automotive Requirements Management/System Engineering Intern TECHNICAL PROJECT PROFILE:

● Orchestrated decomposition for 35 Tier 3 Projects of DRIVE OS at Nvidia Drive on the Jama Platform into Stakeholder Requests, Architectural Decomposition and Features. Generation of excel Reports using Birt and Velocity APIs.

● Involved in REST API scripts to develop tools and scheduling of these for automation within Jama.

● Communicated and cross-coordinated with various teams in the Bay Area, India and Germany to make decisions pertaining to process management in Autonomous Driver Assistance Projects.

● Drive topics of Automotive Glossary and Safety (Functional-ISO26262) within all Projects. Carved out detailed plan including Impact analysis in order to achieve the Project.

● Duplicated all Projects utilizing Branching across 3 branches of software releases for efficient handling of customer requirements.

2. Mercedes Benz Research and Development India July 2014-Aug 2019 Designation: Senior Product Design Engineer (Electrical Domain) TECHNICAL PROJECT PROFILE:

● Powertrain Diagnostics: Performed diagnostic testing of Powertrain in-house SW for MCM (Motor Control Module) and ACM (Aftertreatment Control Module) Electronic Control Unit.

● Confirmed OBD (On Board Diagnostics) compliance to optimize OBD performance for robustness and for Usage of vehicle, test bench, v-truck data for accuracy.

● OBD Documentation and Simulation: OBD Simulation and Diagnostic Testing includes Simulation of fault/monitor conditions using bench data. DataSourcer tool enhancements using Matlab/Simulink.

● Planned and programmed tools for Documentation of Euro 5 and Euro 6 vehicles for HDEP (Heavy Duty) and MDEG (Medium Duty) variants.

● Automation to speed up processes involving linking of Matlab and vba based tools.

● Implemented static verification analysis for Targetlink generated code including formulation of Data Range Specification Tool to get specifications using VBA and m-script.

● Pioneered polyspace Project to run Targetlink source code on server, analyze it, generate reports, document bugs and report to customers.

● Shaped MKS Integrity for requirement fetching and process improvement. Oversaw management workshops for approval of Change Requests.

● Initiated Agile methodology workflow in all Daimler Projects.

● Coordinate synchronization for MCM and ACM softwares with releases as per set timelines for summer test and winter test. This involves new feature addition and Bug Reports.

● Spearheaded the flow of v-cycle at NAFTA, Euro and India side for all current releases documented in Pedigree.

ACADEMIC QUALIFICATION

● North Carolina State University Aug 2019 to Dec 2020 Master of Science in Electrical Engineering; GPA: 3.833/4 Courses: Signal Processing, Imaging Systems, Random processes, Computer Vision, Pattern Recognition, Neural Networks

● KLS Gogte Institute of Technology Sept 2010 to Jun 2014 Bachelor of Engineering in Electronics and Communication; GPA: 82.61/100 PROJECT EXPERIENCE:

● Develop a visual water-stress predictor for soybean with neural networks.

● Use Waymo/KITTI datasets to determine objects (e.g. lanes, signs, vehicles, pedestrians, etc.) in a scene using a CNN.

● Detection of position/velocity of vehicle using inertial and camera data using RNN (Recurrent Neural Network).

● Processed images using transform, blending, image pyramids, scaling and intensity transformations.

● Research in EcoPRT, NCSU autonomous low cost vehicle with set up of SLAM on ROS platform. Working with the software team on SLAM module (for autonomous vehicle) with existing vehicular architecture in ROS. Part of the hardware team, handling the integration of hardware modules with the software system.

● Implemented a Laplacian Blob Detector using Laplacian of Gaussian filter and non-maximum suppression techniques.

TECHNICAL SKILLS:

● Programming Languages: MATLAB Script, VBA, Python, C, C++, SAS, Batch script,vim using puTTY

● Tools and Technologies: CAN, Layers of OSI, Automotive standards of ISO 14229, ISO 11898, ISO 26262, MATLAB modelling, TPT, Simulation,Vector Tools of CANDiva, CANoe;DTS Monaco,Visual Studio, Jira for Agile methodology, MS-Excel, Jenkins, Shell Script,Jama Tool,Confluence,Windows /Linux Operating System

● Certifications:

-ISTQB-Foundation level from ‘The International Software Testing Qualifications Board’.

-Basics of SAS programming and Machine learning (Stanford University) from Coursera.

-German language A1/A2.

LEADERSHIP SKILLS:

● ‘Above and Beyond the Call of duty’ award for exemplary contribution in the ACM /MCM E3 workshop in 2018.

● Main coordinator for Robotryst workshop organized for the entire North Karnataka by IIT-Delhi. Received

‘Letter of Appreciation’ from HOD for same, 2013.

● IEEE member and AEE (Asso. Of Electronic Engineers) Secretary in 2013.

● Part of the Diversity Committee where I organized various workshops for women on ‘Personality and Self Development’ at Mercedes Benz R and D India in 2017.

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