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Synspective / Platform Development Manager
With a Computer engineering background, I got experienced with big data and machine learning PaaS and SaaS development. Involves and leads multiple solution development from zero to one phase.
My goal is to contribute to society using technology.
Manage stakeholders to understand requirements. Define the user story. Facilitate design sessions and review UI/UX. Review technical architecture design. Play both EM and Technical PM.
Developing Geospatial solutions using satellite image and deep learning/Machine learning technique on the native cloud environment.
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Develop ABEJA Platform
Data analysis platform for aggregating counting and demographic information of a visitor from a real-time video camera with a different type of data like POS, ERP, weather, and social media for a large amount of data (44 zettabytes in 2020). A highly scalable system with nearly real time (not more than 10 minutes) analysis.
The ABEJA platform is an innovative AI platform consisting of cutting-edge AI technologies ranging from IoT, Big Data and Deep Learning. Facilities all phases of deep learning and machine learning include data collection(data lake), data validation, data correction, data annotation, model creation, training model, deploy the model as an API service and database service and re-training the model for big data. Provide management Console (UI), API, CLI and SDK for most usability. Able to deploy the different type of services like HTTP, Batch process, Demon service in both Cloud and Edge (Jetson) device. Highly scalable with customizing CPU and GPU. Microservice architecture for services. And umbrella architecture for controller App.
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株式会社ABEJA / Software Engineer, Platform development
Data analysis platform for aggregating counting and demographic information of a visitor from a real-time video camera with a different type of data like POS, ERP, weather, and social media for a large amount of data (44 zettabytes in 2020). A highly scalable system with nearly real time (not more than 10 minutes) analysis.
