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Sneha Sudhir Shetiya
  • Studying at North Carolina State University
  • Living in United States
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About

A keen learner and a passionate individual with high expertise and experience in the Electrical Department of Mercedes Benz Research and Development India. With the spirit of learning and to dive deep into Machine learning and Computer Vision domain, I am currently pursuing my Masters in North Carolina State University.
Following is my skillset:

-Knowledge of Automotive /Powertrain Domain
-Diagnostics(ISO 26262 standards) and CAN(ISO-11898)
-VBA/Python/Matlab tool development
-Matlab Simulations and Analysis
-Static Verfiication Analysis using Polyspace
-Verification and Validation of Software
-Efficient in Vector tools CANdelaStudio,CANDiva,CANoe
-Configuration management and Requirement Gathering in MKS Integrity,Jama
-Process flow for ISO26262 functional Safety
-Worked with Agile methodology-Jira
-Expertise in Jenkins tool
-Complete V-cycle software development Expertise.
-Neural Networks(CNN,RNN,SVM,GAN techniques)
-Computer Vision algorithms
-Perception, Path Planning and Motion Control Topics for ADAS Vehicles
-Sensor Fusion LIDAR/Camera/Radar

  • Experience

    NVIDIA
    Automotive Reqirements/System Engineering Intern
    Company NameNVIDIA Internship
    Dates EmployedMay 2020 – Aug 2020
    Employment Duration4 mos
    LocationUnited States
    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 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.
    Mercedes-Benz Research and Development India
    Total Duration5 yrs 2 mos
    TitleSenior Product Design Engineer
    Dates EmployedApr 2019 – Aug 2019
    Employment Duration5 mos
    LocationBengaluru Area, India
    -Global visibility to NAFTA and European colleagues in co-ordination and configuration management activities for Engine and Aftertreatment ECUs.

    -Verification and validation using static code analysis of C code with Polyspace tool for frames of Engine and Aftertreatment ECUs.

    -Experience in m-script,batch script and vba for automation activities.

    -Courses in Machine Learning,Neural networks , deep learning, R Programming and SAS Programming done during this period due to interest in AI topics.
    …
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    TitleEngineer
    Dates EmployedApr 2015 – Mar 2019
    Employment Duration4 yrs
    Development and maintenance of tools used for the documentation and certification of OBD protocols for European, NAFTA and Tier 4 variants for HDEP and MDEG , ACM and MCM ECUs
    TitleGraduate Engineer Trainee
    Dates EmployedJul 2014 – May 2015
    Employment Duration11 mos
    Testing and validation of services for ISO 14229 protocol for ACM and MCM ECUs using manual based approach and automated Diva testing based approach.
  • Projects

    Cyclist Detection using Detectron2 model
    Using the KITTI Research Suite's cyclist dataset, our team implemented Facebook AI's Detectron2 model to detect cyclists in still frames taken from moving vehicles. Occlusion and distance were the main challenges of this Project and those results were explored.
    Soybean detector using CNN and Resnet Approaches
    Classification based on leaf wilting in soybean plants using neural networks. Used the architecture of Convolutional Neural Networks along with VGG. The dataset proved to be unbalanced. Thus tried to improve accuracy by using the architecture of resnet and varying the weights.Applied data augmentation. The images provided as inputs had plants with different stress levels that were classified as per the amount of change in the wilting.
    Extraction of Harr features and Implement Adaboost algorithm
    Extract Harr features for the FDDB-folds dataset. Calculate classification error for each weak learner and draw the ten best features. Decision tree of depth 1 has been used to do the same.
    The prediction of Adaboost is done by computing the weighted average of the predictions of all weak learners.
    Face Image Classification
    Modeled Gaussian, Mixture of Gaussian, t distribution,mixture of t-distribution, Factor Analysis and mixture of Factor Analyzer involving data preprocessing and cross validation strategy.
    Utilized Expectation Maximization algorithm using hidden variables for improved modelling.
    1000 face and non-face images for training and 100 test images of size 10*10 from FDDB dataset were used on the various models.
    Train an MLP for digit recognition using MNIST dataset
    Implemented back propagation algorithm to Multi Layer Perceptron for handwritten digit recognition with a test accuracy of 90.61% with tuning hyper-parameters like number of layers and learning rate on 3000 samples in training, 10,000 samples in validation and 10,000 test samples.
    Laplacian Blob Detector

    Used Laplacian of Gaussian filter and maximum suppression techniques to create blobs on an image image based on the internsity parameters.
    Design a convolution function of an image using six different types of filters of Box,Prewitt,Sobel and Roberts.Implement padding for the various types of clip/zero padding,wrap around,reflect across edge and copy edge.
    Visualising and checking the smoothness of images by finding the intensity differences implemented for Gray,Lab,HSV ,Hue and color images.Using djshiktra algorithm and network graph concepts, finding the shortest path between two pixels in n image.
    Image smoothing and shortest path detection
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Market study of Apple (iPads), Samsung and Amazon Tablets | ##business #market #tablets

Market study of Apple (iPads), Samsung and Amazon Tablets

Market study of Apple (iPads), Samsung and Amazon Tablets

This paper will discuss market study of tablets of companies including Apple, Samsung and Amazon in United States. The main reason for choosing these are these are found to be the top performing companies as per the latest statistics of 2020.Following data confirms the above.
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Annita Longbottom

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I really liked your market Study Sneha Sudhir Shetiya
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Market study of Apple (iPads), Samsung and Amazon Tablets | ##business #market #tablets

Market study of Apple (iPads), Samsung and Amazon Tablets

Market study of Apple (iPads), Samsung and Amazon Tablets

This paper will discuss market study of tablets of companies including Apple, Samsung and Amazon in United States. The main reason for choosing these are these are found to be the top performing companies as per the latest statistics of 2020.Following data confirms the above.
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Evaluation of Financial Crisis of 2008 | ##2008 recession #automotive

Evaluation of Financial Crisis of 2008

Evaluation of Financial Crisis of 2008

This article evaluates the financial crisis which began in around 2008 based on the perspective of the country in which you plan to offer your product or service. In other words, this event happened over 10 years ago, but some effects may still be felt today.
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Evaluation of Financial Crisis of 2008 | ##2008 recession #automotive

Evaluation of Financial Crisis of 2008

Evaluation of Financial Crisis of 2008

This article evaluates the financial crisis which began in around 2008 based on the perspective of the country in which you plan to offer your product or service. In other words, this event happened over 10 years ago, but some effects may still be felt today.
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Ethical dilemma ‘Corporate restructuring-layoffs’ | ##ethics #business #automotive

Ethical dilemma ‘Corporate restructuring-layoffs’

Ethical dilemma ‘Corporate restructuring-layoffs’

This paper speaks about the ethical dilemma that every business is prone to face at some point during its growth. I have chosen the topic of ‘Corporate restructuring-layoffs’ as the focus of this paper. Three articles have been chosen for discussion the references of which have been gi
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