Worked as a primary implementation engineer for Rakuten Search Indexing pipeline which processes 3-4 TB of data daily, 100 million item data per hour to feed Rakuten Global Search Platform, Price Magic Cashback API (rewards.com)

Implemented multi tenancy platform and PRM rule management system to support partner specific exclusion and transformation algorithms along with near real time caching, notification event listeners and real time subscription-based system with using merchant central rest api services and user dashboard

Presented the high-level architecture design to the CTO, Vice President and all team members in the Rakuten Catalog Platform team during an all hands meeting and received approval

Tech Stack: Big Data · Java · Python · Spring Boot · Apache Spark · Kafka · Redis · Google Pub/Sub · Big Query · Elastic Search ELK · Data Visualization · Git · Linux · Googling

Integrated multiple end-points and API services between Rakuten Rewards and Marketplace business units to allow users to receive a cash back campaigns, coupons and points services for all their shopping experiences

Achieved to optimize up to 70%-page size reduction (4.5MB) for Search/Category pages’ performance and to reduce +1sec page load time as an owner of project and software engineer. (Projects are presented by PMOs proudly in company KPI meetings)

Designed and implemented integration of Directus open source software platform to wrap custom SQL databases with a dynamic APIs into our application to make business and marketing contents manageable easily

Worked closely with many of our 3rd party data solution partners to track and analyze user behavior to be able to provide product recommendation systems

Played a very key role as a project owner for Rakuten Rewards Engager mobile application integration with Marketplace to help users to have seamless shopping experience on mobile

Tech Stack: Javascript· Ruby · Ruby on Rails · React · GraphQL · Google Cloud Platform · Redis · HTML · CSS

Developed zipcode search functionality according to income, population and household data from GCloud and related address & places suggestions with using Google Place API.

Implemented data visualization heat-map project on top maps, to allow clients to highlight specific boundaries according to boundary's feature; population, income, household using polygon data JSON.

Worked on product advertisement panel, worked with Firestore NoSQL database to keep product objects in order to allow clients fast query.

Achieved to provide fast remote control and chat module for company's IT service team to help customer's stores.

Implemented well designed user interfaces with working coordinately with designer team to ensure customer satisfaction.

Prepared unit tests and performance reports for modules and components of mobile application with using XCTest in Xcode.

Succeeded to improve customer satisfaction with analyzing keywords in customer feedbacks using machine learning with Python.

Presented two projects to project manager and CEO, which was approved as a milestone on funding both applications.

Implement machine learning project for sentiment analysis and natural language processing with using Python3 and NLTK library to analyze on customer feedback data.

Analyzed keywords of customer feedback data and designed decision tree to create decision pattern to help company to predict customer decisions of partner firms.