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I'm Giri, an avid Artificial Intelligence enthusiast with a keen interest in crafting and implementing AI/ML-driven solutions, leveraging the agile and scrum software development life cycle. 😊
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I hold a Master's degree in Embedded Systems from the Technical University of Chemnitz, where my research focused on Unsupervised Learning and Generative Adversarial Networks. https://github.com/rebelgiri/thesis-domain-adaptation-of-synthetic-document-images-using-neural-networks
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I am presently employed at Fusionsystems GmbH in Chemnitz, Germany, where my role involves overseeing automotive software development and testing while ensuring compliance with ISO 26262 and ASIL standards. Concurrently, I am engaged in collaborative projects with automotive software companies such as Cariad, FD Tech, and Intenta in the Saxony region.
- Predictive Maintenance project using Deep Learning and Vibration data for Condition Monitoring of Industrial Machinary 😍. https://github.com/rebelgiri/predictive-maintenance-using-deep-learning
- A research project in the area of Multi-Object Multi-Camera Tracking for Pedestrians 😍.
- Actively contributed to numerous C++ projects with a primary focus on Sensor Data Fusion. One notable example includes utilizing Bayesian Networks to estimate the driving direction of lanes.
- Extensive work in C and C++ programming for Cross-Platform application development. I possess a strong grasp of the GNU Linux operating system, having served as a Linux System Programmer at renowned companies like Huawei Technologies and UST Global (deputed at Intel).
- Programming Languages: C, C++, Python
- Development Tools: Visual Studio, VS Code, Git, JIRA, Confluence, Jenkins, ADTF, PSD Provider, CMake, GDB
- Frameworks: CI & CD, GoogleTest, TensorFlow, Keras, PyTorch
- Libraries: OpenCV, Scikit-learn, NumPy
- Methodologies: Agile and Scrum
- Compliances & Guidelines: ISO 26262, ASIL, MISRA, ASPICE
- C++ software development and unit testing using Google Test & gMocks
- Computer Vision
- Deep Learning and Machine Learning (PyTorch, TensorFlow and Keras)
- Algorithms and Data Structures
- Bayesian Networks and Predictive Filters like Kalman
- Sensor data fusion
