I am a Machine Learning Engineer, passionate about turning data into impactful solutions. With a foundation in machine learning and deep learning, I’m eager to apply my skills to solve real-world challenges, particularly in audio and visual data processing.Currently, I am working on projects that involve separating music sources using deep learning techniques, while leveraging AWS cloud infrastructure to build scalable data pipelines and deploy models. This hands-on experience has strengthened my understanding of cloud computing, model optimization, and deploying AI solutions for practical use cases.During my studies and internships, I worked on diverse projects ranging from high-voltage power line insulator detection to computer vision applications for cyclist and bike lane detection. Each project has fueled my passion for data-driven solutions and taught me how to handle complex datasets, optimize models, and deploy AI in real-time environments.As I grow in my career, I am committed to continuously expanding my knowledge of machine learning and cloud technologies. I am always looking for opportunities to collaborate with teams that are dedicated to innovation and pushing the boundaries of AI and data science.Core Competencies:Machine Learning & Deep LearningAudio Processing & Computer VisionData Pipelines & Cloud Platforms (AWS S3, EC2)Model Optimization & AI DeploymentPython, TensorFlow, PyTorchMLOPs, Docker,DVC