Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
I am a Computer Science (Artficial Intelligence) Gradute Student at University Of Southern California. A seasoned machine learning engineer with research experience in Computer Vision, Natural Language Processing and Reinforcement Learning. Proficient in developing reproducible processes and robust, production level solutions. I enjoy solving interesting problems and algorithm design and analysis. Currently working as Machine Learning Engineering Intern with the Data Science Team at the Blackberry Corporati
Languages: Python, Java, JavaScript, C, C++, C#, HTML/CSS, Bash Databases: MySQL, MongoDB Libraries: NumPy, Pandas, OpenCV, matplotlib, Seaborn Frameworks: TensorFlow, Pytorch, Keras, Flask, Django Tools & Technologies: Git, Docker, AWS
Looking for an opportunity to work on challenging problems that enable me to leverage my skills in Machine Learning and Software Engineering, have interesting experiences and professional and personal growth.
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing