Computer Vision | Machine Learning Engineer
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I am a Robotics masters student nearing the end of my masters program at RWTH Aachen University. I have gained experience in training and deploying Machine Learning and Computer Vision models for various applications. I am looking for exciting full time opportunities in the same.
I have gained experience in computer vision and deep learning-based projects. I am working on my master's thesis at RWTH Aachen University to improve object detection performance for unseen objects using synthetic data and GANs. As a Deep Learning Intern at ZF Friedrichshafen AG, I adapted unsupervised approaches for domain adaptation, generated synthetic data for training and validation of models, and worked with cloud platforms like Docker and Kubernetes.
I also gained experience in agile development and worked with packages like OpenCV and Open3d. Currently, as a Student Research Assistant at AMT at RWTH Aachen University, I am working on a project to automate slag removal in an iron production company using TensorFlow and stereo depth cameras. I have implemented the entire data processing pipeline and trained and deployed models for real-time detection on a robotic arm while also performing hyper-parameter tuning for improved performance.
I'm on the verge of completing a master's degree in robotics systems engineering from the RWTH Aachen University with a focus on various key courses. I gained knowledge in Machine Learning and Artificial Intelligence, Computer Vision, and Control Engineering. I also completed a course in Self-Driving Laboratory which gave me introduction to the various functions of the software stack for an autonomous driving systems.