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.

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.

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.