
Kunal Singh
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Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Kunal Singh
- Bis heute 1 Jahr und 9 Monate, seit Okt. 2023
Software Engineer
HL Mando Corporation Europe GmbH
Performed software requirement analysis for safety-critical braking systems, adhering to V-Model software development lifecycle principles. • Designed, developed, and debugged embedded software in C within real-time operating system (RTOS) environments. • Automated software module testing using Python,Hardware-In-Loop. • Proficient in version control systems such as GitLab, Git, and SVN, with experience in defect tracking tools like JIRA. • Practical experience with communication bus systems, including CAN.
- 1 Jahr und 2 Monate, Aug. 2022 - Sep. 2023Da Vinci Engineering GmbH
Software Test and Automation Engineer
• Conducted requirement analysis and reviewed project documentation using IBM Rational DOORS. • Tested High Computing Performance Electronic Control Units. • Automated test cases using Python scripts and executed them via the Contest framework integrated with Jenkins CI/CD pipelines.
- 2 Jahre und 7 Monate, Aug. 2016 - Feb. 2019Robert Bosch Engineering and Business Solutions Limited
Software Engineer
To design and code the functional packages for the Diesel & Gasoline ECU projects using Lean / Agile methodologies and applying V model SDLC principles. To coordinate and engineer with experts for evaluation of OEM’s requirements and to further describe it using ASPICE. To verify and validate the software using testing techniques such as HIL- LabCar and/or PC-based Unit Regression test tool TPT and debugging via UDE.
Ausbildung von Kunal Singh
- 3 Jahre und 3 Monate, März 2019 - Mai 2022
Control, Microelectronics and Microsystems
Universität Bremen
Master Thesis: Connecting Live Sensor Data with Digital Twins and Mathematical Model • Developed a real-time data acquisition system, integrating sensors via serial ports and streaming data using MQTT and Apache Kafka. • Stored and visualized data in InfluxDB and Grafana; conducted time-series analysis with machine learning models. • Implemented mathematical models in MATLAB and Java; containerized components with Docker and Docker Compose for scalability. Deployed the system using Python.
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Deutsch
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