Pratik Patil

716-***-**** linkedin.com/in/patilpratikv github.com/patilpratikv adi5w8@r.postjobfree.com

WORK EXPERIENCE:

MathWorks, Natick, MA. Software Engineer in Test Jul’19 - Present

Architect test tools, write automated test in MATLAB, Simulink environment to validate the features in Simulink V&V product family.

Contribute to design planning and architecture of features related to “Simulink Test” toolbox and test to attain highest quality for the product.

Achieved aggregate code coverage above 90% across languages such as C++, JavaScript and MATLAB.

Write tools to automate redundant processes within workflow which results in increased efficiency up to 10%.

Leveraged knowledge in MATLAB, Simulink, C, C++, JavaScript, Simulink V&V products, JIRA, Confluence and Perforce.

Mahle, Lockport, NY. Embedded Software Engineering Intern May’18 – Dec’18

Developed MATLAB GUIDE panel integrated models. Automate Embedded Coder development process for consistency across developers.

Custom algorithm in VBA for better visualization and data analysis post HIL testing.

Wrote MATLAB scripts with excel integration for better maintenance and versioning of Simulink signals and parameters.

Auto test case generation for Simulink models using MATLAB scripts to improve MIL, SIL testing cycle by 15%.

ISO 26262 workflow during model design, verification and validation.

Leveraged knowledge in MATLAB, Simulink, Stateflow, Embedded Coder, Simulink Requirements, Simulink Coder, C and QML.

Magna Steyr India Pvt. Ltd., Associate Engineer Jan’17 – Jul’17

Developed, analyzed & verified Transfer Case & Transmission Control systems, followed AUTOSAR guidelines during implementation.

Optimized testing tools to get rid of tool version dependency to reduce tool maintenance by 40%.

Created .dll from Simulink models using tool like RTW & Target Link to increase the testing cycle efficiency by 40%.

Interface with cross-functional teams to understand requirements and review designs.

Leveraged knowledge in MATLAB, Simulink, Stateflow, Python, TargetLink, C, Polyspace Code Prover and MKS PTC Integrity.

Tata Consultancy Services, System Engineer Mar’14 – Dec’16

Ford Motors (North America) (Jun’2014 - Dec’2016)

Designed, developed & verified Climate Control algorithms using MATLAB, Simulink, Stateflow in MIL & SIL environment.

Developed executable from Simulink models using RTW, automate verification and validation cycle of FORD CLIMATE HMI (SYNC 2/ SYNC 3) to reduce integration testing cycle time by 83% and saved $3000/person per year.

Developed tools using m scripts, cmex, C, VBA and HTA to automate analysis in agile process to increase efficiency by 30%.

Auto test case generation (~4000 test cases) of HVAC HMI unit module using VBA to reduce unit testing cycle by 20%.

Analyzed test data, reports to determine if software designs fulfill functional and performance specifications.

Leveraged knowledge in MATLAB, Simulink, Stateflow, Simulink Coder, Embedded Coder, C, CAN, C++, Qt, QML and SharePoint.

EDUCATION:

Master of Science in Electrical Engineering May’19

State University of New York at Buffalo GPA - 3.7

Bachelor of Engineering, Electronics and Telecommunication

Shivaji University, India Percentage: 70% (Top 2% in University)

PROJECTS:

Traffic sign classifier (Python, Tensorflow, OpenCV) Sep’20

Identify German traffic signs from the images using customized LeNet CNN architecture.

Testing accuracy of 94.5% was achieved with the network. When tested on new images from web achieved 100% accuracy.

Advance Lane Detection in Autonomous Vehicle (Python, OpenCV) Aug’20

Determine the lane in the video stream, calculate curvature of the road and position of the vehicle from center of the lane.

Used concepts such as camera calibration, distortion correction, color transform, perspective transform to find lane boundaries.

Image Based Search Engine (Python, NumPy, OpenCV) July’18

Developed image search engine to give image results of various places on campus. Achieved accuracy from 80% to 100%.

Image disparity estimation and Image Segmentation (Python, NumPy, OpenCV) June’18

Predict distance of object based on depth maps using left and right camera image input. Create centered image if camera kept between left and right camera using depth maps.

Performed image segmentation to locate objects and boundaries in image using mean shift algorithm.

Edge Detection and Histogram Equalization (Python, NumPy) May’18

Edge detection (Horizontal & Vertical) using Sobel filter and compared execution time between 2D and 1D convolution. Implemented generic algorithm for histogram equalization.

Digit recognition using Neural Networks (NN) (Python, NumPy, Tensorflow) Mar’18- Apr’18

Trained Convolutional NN (CNN) on CelebA and MNIST dataset using tensor flow & achieved test accuracy of 79.3%. Designed single layer NN with forward and back propagation to compare results with deep NN. CNN gives best results with almost 99% accuracy.

Classify diabetic patients using regression techniques (Python, NumPy) Feb’18

Implemented and trained LDA, QDA and Ridge regression classifiers on diabetes dataset with 64 features and compare accuracy among classifiers using MSE. As the data was linearly separable, linear and ridge regression gave lowest MSE.

TECHNICAL SKILLS:

Software Tools: Expert: MATLAB/Simulink/Stateflow, Simulink Coder (RTW), Embedded Coder, Simulink V&V and TargetLink.

Advance: PyCharm, Spyder, Jupyter Notebook, CodeBlocks, Qt and Eclipse.

Programming Languages: Expert: C, Python 3, C++, VBA, Html and CSS.

Advance: VBScript, JavaScript, Shell Script.

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