rebelgiri / cyclegan-1

A simple code of CycleGAN which is easy to read is implemented by TensorFlow

Resume

🚴‍♂️ Introduction

• 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. 😊

• 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

• 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.

🚅 Projects and Experiences

• 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 😍.
• Atively 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).

⛷️ Skills

• Languages : C, C++ and Python
• Tools : Git, JIRA and Confluence
• Frameworks : Google Test, TensorFlow, Keras and PyTorch
• Libraries : OpenCV, Scikit-learn and NumPy

🧘‍♂️ Professional Interests

• 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

Credits

😊 I have created my profile by referring an article created by Lakshmanan Meiyappan.