• Core member of Data Infra Team.

• Develop and maintain Terraform AWS K8s cluster of Kafka.

• Design and build Data/ETL Piplines with MongoDB, Postgresql, Mysql, SnowFlake witk Kafka.

• Develop Ruby/Python/Kotlin related lib for Kafka.

• Main knowledge source for teams to onboard and debug kafka realted projects.

• Develop and support self-service for teams to quickly deploy kafka connectors.

Core member of Backend Engineer Team.

Build billing system for multi customers and vendors in Python.

Design and implement multi-media campaign call integration with Salesforce in Python.

Day to day tech stack: AWS, GCP, Kafka, Docker, python, ruby

• Core member of Rubrik Mosaic Infra team.

• Support multi-cloud storage backup of NoSQL database.

• Design and implement unified cloud storage layer for S3, GCP and Azure.

• Support other S3 or NFS like storage based on current solution.

• Design and implement an error code schema system to boost the debugging and logging process.

• Optimize the existing code deploying/upgrading process from 40 mins to 5 mins.

• Refractory the existing Node.JS API server.

• Design and implement infra layer integration between Mosaic and Polaris.

• Develop a real estate loan application platform using MEAN stack (MongoDB, Express, Angular/React, Node) with REST API

backend and Dockerize the web service on AWS both in China and US.

• Deploy server containers under Nginx, achieving load balancing and reverse proxy features.

• Use Redis and Dropbox as cache layer and CDN to improve the server performance and Dockerize the server app for scaling up server to multiple.

• Develop an online underwriting system to help underwriting team to distribute tasks and complete the loan process.

• Develop a Nagios monitoring service to monitor the AWS Ubuntu instances

• Develop the legal files system, reducing the work load of legal files from hours to minutes.

• Use Django as the back-end to support an investment package recommendation system.

• Use Flask as the back-end to support trading service, AI consultant service and auto-investing service with REST API.

• Build big data pipeline and machine learning system to deliver property valuation service by using SMACK stack (Spark, Mesos, Akka, Cassandra, Kafka ) and crawler.

• Build a micro CRM system with function of automatic customer service and campaign to support sales team. Get several leads per day and convert to 3-4 loans every week.