Dev Mehta Email & Phone Number

Greater Boston

Burlington, Massachusetts, United States

Implemented Jenkins automation for cross-version plugin testing, ensuring regression prevention through comprehensive testing strategies.Developed and implemented Groovy scripts for Maven-based Jenkins plugins, optimizing build processes and ensuring seamless deployment in production environments.Developed a secure credential storage and access system within Jenkins' global configuration, improving credential management and enhancing security for Jenkins plugin development.Enhanced NuGet Inspector to integrate Central Package Management, enabling comprehensive dependency identification in dotnet projects and facilitating vulnerability reporting in Blackduck BOM.Extended Synopsys Detect functionality by implementing exclusion properties for customisable filtering of NuGet project dependency types within generated BOMs, increasing precision in vulnerability management.Implemented support for Gradle rich versions in Gradle Detector, improving dependency and vulnerability identification capabilities for Gradle projects.Refactored Inspector Parser data models to ensure consistency and simplify security flaw tracing, enhancing overall efficiency.

Greater Boston

Achieved 95% success rate on performance and feature testing after upgrading the product’s front-end to meet Angular 12 standards.Developed and Configured different features such as notifications, emails and search for the internal product and reduced user search time by 10%.Designed the structure of product’s new authorization component and password policy in Java Spring.Developed and implemented REST API's to dynamically generate views and tables, facilitating efficient display of issues for uploaded projectsEnhanced Cloud/Docker scripts with seamless Swagger 2.0 integration for improved API management and documentation.Created a functionality in Java Spring to generate metric views that are customer-ready and optimized for efficient data analysis and export.

Designed and developed a solution to integrate LogFire, WMS, RMS, and SIM to automate the testing for Oracle Retail products for Oracle Enterprise Integration team.Wrote automation scripts in Python to automate the creation of facilities and reduced manual effort by 90%. Tested and optimized the automation scripts to create and load product data in bulk for further business analysis.Developed a SOAP UI interface for managing stock inventory of Oracle products and suites.

South Korea

Built ML algorithm for Employee Performance Prediction to predict the performance rating of employees based on the input. Built the model using Machine Learning Techniques such as XG Boost, Artificial Neural Network, Random Forest and Decision Tree.Achieved accuracy of 96.25% while using ensemble model for all the techniques mentioned above. Also, we have a published a paper

Master'S Degree, Computer Science, 4.0

Bachelor'S Degree, Information Technology, 8.67