Bhalchandra Bingewar

• Implementation of dll files in C++ & C# to simulate CAN diagnostics request & response with UDS & IES protocol. Analyze CAN using CANKing • Implementation of test scripts in VB.Net to test functionality of Telematic device • Implementation of testing tools in Java,C++ and C#.Net • Automation of tests in Jenkins and Management in ClearTest • Verification of bugs and prepare reports in Confluence • Configure and execute tests on test station that simulates the environment of real vehicle

- Backend developer for RESTful web services using Java, Spring Boot, Hibernate and PostgreSQL - Implements microservices with integration and unit tests using JUnit and Mockito. - QA activities like manual testing, BDD test using JBehave, Selenium. Bug reporting in Jira - Agile project development using SCRUM team Technology Stack: Java, Spring Boot, Hibernate, PostgreSQL, JUnit, Git, Jira, BitBucket, Liquibase

Research and development in ADAS in area of Traffic Sign Detection and Recognition. Primary aim is to optimize the performance of current application. • Design, developed and implemented an algorithm to recognize traffic sign more efficiently. • Implementation of a cascade detector by defining structural rules for speed limit signs. • Development of optical flow vector using Lukas-Kanade algorithm to track candidate image Language / Tools : C++, OpenCV, Visual Studio

Driver Assistance Systems / Vehicle Environment Recognition Analysis, bug fixing, integration and development responsibility. • Analysis, bug fixing and integration of ‘Pedestrian Detection’ with ‘Traffic Sign Detection’ program in one API. • Development of new framework for general object detection. • Analysis and bug-fixing to improve algorithm of existing labelling tool for traffic sign detection Language/Tools : C++/CLI, OpenCV, Visual Studio, WinMerge, SVN

Member of FPGA based Runway Boundary Detection project. Implemented a GUI application for sending a series of an image over network using UDP communication protocol. Research and proposed an efficient algorithm on OCR for recognition of digits on runway. Language/Tools : C#, Visual Studio 2012, SVN

Automotive Software Engineering practical course at TU Chemnitz. Tasks : Gained understanding, programming and interfacing ECU via TinyCAN Bus, Testing ECU using ECU-TEST tool by TraceTronic company, Implemented AUTOSAR SWC's using dSpace-SystemDesk. Language & Tools : Embedded C, Ride7

Automotive Software Engineering Software Platform for Automotive Systems Machine Learning Parallel Programming Multicore-Programming