We endeavor to optimize land use activity for the best of the human

Responsibilities:

• Lead a 3-member team, architect and develop an internal data catalog, and enhance 30% data usage inside comoany, utilizing Golang, GraphQL and MongoDB. Collaborated with a frontend engineer to create a user-friendly UI. Mentor an intern on programming methodologies and best practices for API development.
• Initiate, develop and maintain more than 20 ETL pipelines with Airflow and GDAL. Automate the ingestion of the latest satellite data into S3 datalake and transform it into formats fitting the need of the data science team.
• Spearhead the creation of feature design document within the engineering team, enhancing company members’ understanding of new features and establishing efficient development practices.
• Increase 30% of users by developing data models for backend system, and devising RESTful APIs for new features, such as Memo/Project on Compass Map leveraging Django, Postgres, Redis, Prometheus, Grafana, and the AWS stack (including EC2, S3, RDS, Lambda, and Route 53).
• Proactively dockerize several projects inside company, optimizing the scalabity and deployment, saving 30% time of regular deployment with GitHub Action.
• Develop a machine learning system for continuous model evaluation, and model deployment through API services. Collaborate closely with the data scientist, automating the duplicated procedure through integrating their preprocessing procedures and algorithms into the pipeline system.
• Contribute to client’s success, providing valuable insights from satellite and weather data analysis on optimal areas for agriculture product or potential construction spots, and contributing to successful decision-making processes.