As a Deep Learning Research Collaborator at Oregon State University, I work with Intel to apply practical deep reinforcement learning techniques to efficient and scalable workload collocation strategies. I have a strong background in computer science, with a Bachelor of Science degree and a minor in both mathematics and statistics, and I am currently pursuing a Master of Science degree in the same field.Previously, I was a Software Engineer at Garmin, where I developed and deployed cloud-native systems for an event processing infrastructure, using AWS Elastic Beanstalk, Apache Kafka, and IaC processes. I also have experience as a DevOps Engineering Intern at Cambia Health Solutions, where I managed and monitored streaming applications and cloud instances. I have multiple machine learning side projects and data science and programming competition wins that demonstrate my passion and skills in this domain.My aspiration is to make meaningful contributions to the realm of machine learning and data science, all while embracing exploration and innovation within this ever-evolving technology. I am open to learning about any current job openings that align with my interests and expertise.