Deputy Manager

• Aug 2021 - Present

Lead Server Engineer

• Feb 2014 - Jul 2021

I am the lead server engineer in the Whoscall Core team. My job is to develop and maintain phone number related works including the phone number API, AWS cost optimization, data ETL and data research with several machine learning techniques like GNN and NLP. The goal is to provide our users with faster, more accurate caller-id experience. For instance, I am organizing a project which based on Event-Driven Architecture (EDA) and leverages the AWS Lambda@Edge, DynamoDB and EventBridge to speed-up phone number API for our global users, especially in Brazil, recently. Furthermore, we also designed several caller-id prototypes for landline phones based on the Microchip IoT platform. When the landline phone rings, the POC can show the Whoscall caller-id information on the LCD panel and speaks out the caller name by mic. The final product is the Whoscall Wire®. * Below are the tools we used: - Server: Python/uWSGI/Flask, Lua/NGINX/OpenResty, NodeJS/AWS lambda, K8S/EKS - Database: Redis, MySQL, MongoDB, AWS DynamoDB - CI/CD: AWS CDK (Typescript), Jenkins, AWS Code*, Docker - Data: Hadoop, Spark, SparkSQL, Presto, AWS EMR, AWS Glue, AWS Athena, Parquet - Machine Learning: Scikit-learn, Pandas, Tensorflow/Keras, PyTorch, AWS Sagemaker Show less

CTO and DevOps

• Jan 2013 - Jan 2014

Pentagon's smart price tracking technology works with customer's products to identify the best pricing opportunities on the Australia E-Commerce markets – giving our customer the advantage and keeping business ahead of their competitors. They will benefited from reduced costs, greater market share, boosted turnover, increased profits and lower supply prices. Our product is a powerful BI dashboard which is a single page application (SPA) based on Backbone. We use Django to construct the RESTful API. For the product data, we use Scrapy framework to crawl competitor's product information and save into Percona MySQL Database. Then, our chief data scientist develops a matching framework based on neighborhood analysis and distance learning algorithm to match the products in a highly efficient way. Show less

Software Engineer

• Jun 2009 - Feb 2013

We used django to implement a Supply-Chain system for gas station. This includes basic ERP function, caller ID Notification based on Comet, PDF document generation, REST-API for mobile app, etc. We used django to implement a Supply-Chain system for gas station. This includes basic ERP function, caller ID Notification based on Comet, PDF document generation, REST-API for mobile app, etc.

Software Engineer

• Sep 2011 - Jan 2013

We developed a TWSE stock aggregator by Golang and a distributed stock back-test system based on Gearman to accelerate the stock analysis. BTW, we saved the stock information in MongoDB. MongoDB is so amazing at development stage. We developed a TWSE stock aggregator by Golang and a distributed stock back-test system based on Gearman to accelerate the stock analysis. BTW, we saved the stock information in MongoDB. MongoDB is so amazing at development stage.

Software Engineer Intern

• Jan 2007 - Jul 2008

We developed ITRI-ROHC library, PDCP protocol layer, Linux kernel porting, linux network driver and applications on Versatile ARM-926EJS and Versatile ARM11 development board. We developed ITRI-ROHC library, PDCP protocol layer, Linux kernel porting, linux network driver and applications on Versatile ARM-926EJS and Versatile ARM11 development board.

Network Manager

• Jul 2004 - Sep 2007

We designed and maintained services include mail(sendmail, postfix, spamassassin, virus detection), LDAP, Wireless AAA. We designed and maintained services include mail(sendmail, postfix, spamassassin, virus detection), LDAP, Wireless AAA.