Robert H Quan

Robert H Quan

Software Engineer @ Shelf Engine

About Robert H Quan

Robert H Quan is a Software Engineer currently employed at Shelf Engine in Seattle, Washington, where he has worked since 2021. He has a diverse background in software engineering and data analysis, with experience in various technologies and roles across multiple companies.

Work at Shelf Engine

Robert H Quan has been employed at Shelf Engine as a Software Engineer since 2021. His role involves contributing to data engineering projects utilizing technologies such as Python, Airflow, Snowflake, dbt, and Databricks. He also engages in full stack development using .Net Core, Angular, and Typescript. Additionally, he has developed MLOps solutions employing Python, Flask, ArizeAi, Docker, and Kubernetes.

Previous Experience in Software Engineering

Prior to his current position, Robert worked at Liongard as a Software Engineer for 8 months in 2020. He also held roles at the American Bureau of Shipping (ABS), where he served as a Software Engineer focusing on Full Stack development for 3 months and on Machine Learning for 10 months. His experience includes a brief internship as a Data Engineer at Capital One in 2019.

Educational Background

Robert H Quan earned a Master of Computer Science from Texas A&M University, completing his studies from 2017 to 2019. He also holds a Bachelor of Science in Physics from the same institution, where he minored in Computer Science, Astrophysics, and Mathematics, graduating in 2017. His foundational education includes a High School Diploma from Colegio Internacional Montessori.

Research and Tutoring Experience

Robert served as a Research Assistant in Astronomy at Texas A&M University for 10 months in 2015 to 2016. He also worked as a Data Science and Data Analyst Tutor at Practicum by Yandex for one year, from 2020 to 2021. His roles have involved mentoring students in data science and analytics.

Technical Skills and Contributions

Robert has demonstrated proficiency in various technologies throughout his career. His contributions include data engineering, MLOps solutions, and full stack development. He has experience with Python, Flask, Docker, Kubernetes, .Net Core, Angular, and Typescript, among other tools and frameworks.

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