Andre Hien - SOFTWARE ENGINEER

Andre Hien

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Andre Hien

Gender

Male

Address

Singapore

Main expertise

AWS AWS Cloud Back-end Cloud Data Scientists DevOps Full-stack Java JavaScript Machine Learning Node.js Python

Introduction

Andre Hien is a skilled software engineer with a passion for developing innovative solutions using TypeScript and artificial intelligence. With a strong foundation in software development and a keen eye for detail, Andre excels in building scalable applications that harness the power of AI to enhance user experiences.

Project list

MaxxTrader Trading System - Singapore

Developed and enhanced the authentication and authorization features using OAuth for the MaxxTrader Trading System.

- Worked on the authentication module using OAuth. - Implemented authorization protocols for the MaxxTrader system users.

Technologies: Java, Spring framework

TikTok Direct Messaging Safety Enhancements - Singapore

Developed and enhanced the TikTok direct messaging safety backend to handle extremely high query per second (QPS) and transactions per second (TPS). Integrated and conducted A/B testing of machine learning models within the TikTok direct message system. Collaborated closely with iOS/Android engineers for client-side integrations and worked with data scientists to establish data schemas for large scale systems. Delivered API features, deployed them globally, and monitored and scaled the system to ensure reliability and performance.

Work on the TikTok direct messaging safety backend with extremely high QPS and TPS. Integrate and A/B test machine learning models within the TikTok direct messaging system. Collaborate with iOS and Android engineers for client-side development. Coordinate with data scientists to define data schemas for large scale systems. Deliver API features and deploy them worldwide. Monitor and scale the system to maintain reliability and performance.

Technologies: Golang, large scale system, machine learning, A/B test, Python, CD/CI, distributed system, DB, SQL, gRPC, protobuf, distributed queue in microservice

PT Data Pipeline Optimization - Finland

Involved in batch and real-time processing of terabyte-scale data. Worked on enhancing the data pipeline for PT Data, facilitating data extraction, ETL processes, and data mining. Generated business insights from PT-level data sourced from various origins.

Batch processing and real-time processing of terabyte-scale data. Improve data pipeline for PT-data. Data extraction, ETL (Extract, Transform, Load), mining, and analysis for business insights. Handle and process PT-level data originating from multiple sources and services.

Technologies: Python, Java, SQL, Bash, Data analysis, Data mining, Hadoop, Hive, HDFS, Spark, Distributed system

Finnish Trust Network and Mobile Authentication - Finland

Engaged in the Finnish Trust Network project and mobile authentication for robust electronic identification services, supporting over 400,000 active users per day. Developed solutions for secure authentication proxy servers and plugins for client security services. Managed ETL data warehouse batch jobs for analytics purposes. Also involved in a data-intensive MVP product in the Industrial Internet of Things (IIoT) sector, integrating various data sources and ETL processes, crafting rule engine algorithms for supply chain data, and designing a data pipeline with Spring Cloud Stream and MQTT. The system also featured protocol buffer data, a scalable service bus, full-text search capabilities, metric systems, and asynchronous pub-sub system processing. Services through the Elisa network are utilized by 3 million users.

Project 1: - Worked on the authentication system, Single Sign-On (SSO), and identification broker service for the Finnish Trust Network. - Developed solutions for secure, strong authentication proxy servers. - Collaborated on security services plugins for other clients. - Handled ETL data warehouse batch jobs to facilitate analytics. - Elisa network services cater to 3 million users. Project 2: - Delivered a data-intensive MVP product in the IIoT sector. - Integrated various data sources in an ETL process. - Developed rule engine algorithms for supply chain data. - Built a data pipeline using Spring Cloud Stream and MQTT. - Implemented protocol buffer data with a scalable service bus system. - Developed features for full-text search and metrics. - Facilitated asynchronous processing using a pub-sub system.

Technologies: Java Spring, JavaEE, Scala, Azure (deployment Pipeline, ADB2C. LB 9 nodes for 3 locations, Tomcat, Jenkins, Puppet, OpenShift, JMS, Azure Service Bus, Message queue, Protocol buffer, JMS, unit test, integration test

Automation and System Visualization Projects - Finland

This portfolio includes work on various projects such as developing a book packaging automation system with integrated visualization, enhancing ecommerce platforms with new features, and creating a cataloging system for data management.

Project 1: Collaborated on the book packaging automation machine control server and system visualization. Implemented API and UI features, configured Linux servers, and worked with complex Vagrant scripts. Project 2: Maintained and implemented new features for ecommerce systems. Managed data dumps and backups using MySQL/MariaDB, worked with CentOS7 servers, and utilized virtualization and complex Vagrant scripts. Project 3: Delivered a production cataloging system product that handled macros, shortcut keystrokes, long-running async processing, and full-text search for MARC data format in PostgreSQLDB.

Technologies: PHP, JS, SQL Materialized views, full text search, tsvector, API, UI development, Zebra Index Search DB, Linux Ubuntu, CD/CI, Unit Test, E2E test, Vagrant, VM, Automation Machine

Web Application Integration Project - Sweden

Provided technical consultancy and implemented a web-based application to integrate three different legacy software systems. Utilized Node.js and web technologies, including optimized search, complex data frames, and historical snapshot features. Defined the migration software architecture and system.

Technical consultants and implementation for a web-based application integrating three different legacy software systems using Node.js. Utilized web technologies such as optimized search, complex data frames, and historical snapshots. Defined migration software architecture and system.

Technologies: Node.js, MARC data format, optimize search, data migration, System design, Web architecture

MongoDB Data Model and AWS Serverless Architecture with S3 Integration - Finland

Backend bug resolution in MongoDB data model with the implementation of REST API features. Established a deployment pipeline on AWS, utilizing a Serverless architecture to handle uploads to AWS S3.

Backend bug fixing in MongoDB data model. Implement REST API features. Create a deployment pipeline on AWS with Serverless architecture. Manage uploads to AWS S3 blob storage.

Technologies: Node.js, RestfulAPI, MongoDB, Angular, Jenkins, CD/CI, AWS, Serverless, S3

Project list

Education

Expertise