Richard Ross
About Richard Ross
Richard Ross is a Senior Machine Learning Engineer at Dstillery with over two decades of experience in software development. He holds a Bachelor's degree in Mathematics and Computer Sciences and a Master's degree in Data Science from The University of Texas at Austin.
Work at Dstillery
Richard Ross has been serving as a Senior Machine Learning Engineer at Dstillery since 2021. In this role, he applies his extensive knowledge in machine learning and data science to enhance the company's capabilities in data processing and analytics. His responsibilities include developing algorithms and models that support data-driven decision-making. Ross's experience in software development practices and cloud platforms contributes to the optimization of Dstillery's software solutions.
Education and Expertise
Richard Ross holds a Bachelor's degree in Mathematics and a Bachelor's degree in Computer Sciences from The University of Texas at Austin, where he graduated summa cum laude. He also earned a Master of Science in Data Science from the same institution, completing his studies in 2023. His educational background equips him with a strong foundation in both theoretical and practical aspects of computer science and data analysis.
Background
Richard Ross has over two decades of experience in the full software development life cycle. He began his academic journey at Saint Louis University High School before pursuing higher education at The University of Texas at Austin. His career has been marked by a strong interest in automating software development processes, which has driven his professional development and expertise in various technologies.
Technical Skills and Tools
Richard Ross is proficient in multiple programming languages, including Java, Scala, Python, SQL, and R. He has experience with data processing frameworks such as MapReduce and Spark, and is knowledgeable in cloud platforms like AWS and GCP. Ross specializes in developing high availability, distributed systems and utilizes tools like Pandas, Matplotlib/Seaborn, and Scikit-learn for data science and machine learning applications. He is also familiar with monitoring tools such as Grafana, InfluxDB, and Prometheus.
Software Development Practices
Richard Ross is experienced in software development practices including CI/CD, Git, and Agile methodologies. His expertise extends to various data storage technologies such as HDFS, S3, GCS, HBase, and Redshift. Additionally, he is knowledgeable in messaging systems including ActiveMQ, RabbitMQ, Kafka, and Kinesis, which are essential for building scalable and efficient software solutions.