As a Machine Learning Engineer at SoftRobot, I apply my technical skills and academic background in engineering, statistics, and machine learning to solve real-world problems with tailored data and algorithms. I work with a cross-functional team of engineers, analysts, and business stakeholders to deliver high-performing AI solutions for various domains.In my previous roles, I gained valuable experience in data collection, preparation, and analysis, using tools such as Python, R, SQL, and Big Data frameworks. I also developed and deployed machine learning models using frameworks such as Keras, TensorFlow, and PySpark, and explored advanced topics such as reinforcement learning, Bayesian learning, and natural language processing. I am passionate about communicating complex ideas to non-technical audiences, and I have published multiple papers on machine-learning applications and best practices. My goal is to continuously learn and innovate in the field of AI, and to contribute to the advancement of society and industry with data-driven insights and solutions.