Ken Wu's Portfolio

About

Learn more about me

Software & Data Engineer

Graduated from the University of Illinois at Urbana-Champaign.

Website: www.ken-wu.com
City: Tokyo, Japan

Degree: Master of Science
Email: ken.wu.951009@gmail.com

Seasoned Software Engineer with several years of experience in site reliability, software development, and data engineering. Proficient in Terraform, Python, Java, and JavaScript; adept at enhancing software functionality and system reliability. Seeking to leverage expertise in software engineering to drive innovation and efficiency in a new role.

Skills

Python 100%

Terraform 95%

JavaScript 80%

Java 88%

HTTP/CSS 90%

SQL 95%

Recommendations

Ken would be an asset to any company that values intelligent elegant solutions and the persistence that is required to achieve them. I was always impressed with his curiosity and ability to simplify complicated specs into well documented, tested and easy to read code. He had a immediate impact overhauling our python build tooling to use modern best practices leveraging nox and Gitlab CI. He then moved on to add new functionality to one of our internal projects that gave it access to measurements that weren't available previously. This opened the door to some game changing new analytics that were not possible prior. Finally I was most impressed with Ken's ability to identify and fix an error in our graph validation that prevents cycles. It really demonstrated his ability to drill down into something quite complicated and come away with the understanding to fix it. It would be a privilege to work with Ken again in the future.

Nick Flink

Director of Cloud Engineering, PhysIQ

Resume

Check My Resume

Summary

Shu-Hao (Ken) Wu

Innovative and deadline-driven Software/Sire Reliability Engineer with several years contribute to the development and implementation of engineering solutions.

Tokyo, Japan
ken.wu.951009@gmail.com

Education

Master of Science & Information Science

2021 - 2023

University of Illinois at Urbana-Champaign, IL

Extracurricular Activities: HackIllinois
Created website NewsFlow using Python Dash featuring trending news and search bar for users to find articles based on keywords
Related Courses: Computer Network; Data Analysis; Data, Statistical Models, and Information; Database Systems; Programming for Analytics & Data Processing

Professional Experience

Site Reliability Engineer

2024 - Present

THECOO Inc., Hybrid, Japan

Infrastructure/Site Reliability
- Fixed resource inconsistencies in AWS Lambda by verifying dependencies with services like EventBridge, ensuring all related resources were properly imported into Terraform
- Improved infrastructure reliability by enforcing Infrastructure-as-Code best practices, reducing manual interventions and ensuring a fully Terraform-managed cloud environment
- Isolated production and non-production env in GCP by refactoring Node.js backend and Terraform code, improving data access control, deployment safety, and debugging efficiency
- Refactored Kubernetes environment from MVP by restructuring configurations and optimizing resource allocation, improving deployment stability and reducing setup time
Backend Engineering
- Added indexes to the point payout logs table based on different transaction types, improving query efficiency
- Designed Redis session store in Node.js to support user-ID based session deletion, enabling force logout across devices
- Integrated force-logout mechanism into key API routes for session invalidation on account deletion/password reset
- Migrated MySQL schema with a new operation fee table and foreign keys to existing tables (lottery, etc.)
- Wrote Jest integration tests covering session creation, retrieval, deletion, and force-logout flows
Other Contributions
- Developed a Slack bot in Node.js to fetch and display HR documents in seconds instead of minutes
- Implemented Slack API calls for channel message search based on user queries
- Used Google Drive API to list/filter documents and return filename+link in Slack

Data Engineer

2023 - 2024

Allstate Insurance Company, Remote, USA

Architected comprehensive data pipeline using Azure Data Factory, reducing data processing time by 50%
Created transformation pipeline in Azure Data Factory to convert raw data into Parquet format, enhancing data query performance by 30%
Configured Azure Blob Storage to systematically store raw, processed, and transformed data, providing a clear and organized data management system
Designed star schema for data storage, optimizing query performance and reducing execution time
Developed ETL pipeline using Python to load CSV and raw data into PostgreSQL
Established storage layers for landing, bronze, quarantine, and silver data, improving data organization and quality control

Software Engineer

2022 - 2023

PhysIQ, Chicago, Illinois

Designed and implemented Slack bot using Node.js, reducing onboarding time for new hires by 33%, which saved approximately 4 hours per new hire and improved overall onboarding efficiency
Developed web-based capacity calculator using Python Flask, enabling staff to accurately estimate available working hours, resulting in a 20% improvement in resource allocation and project planning accuracy
Led the migration of the algorithm pipeline to support real-time health monitoring by making key health data attributes listenable, resulting in enhanced responsiveness and accuracy of patient data processing
Refined project build automation and facilitated cross-platform development by integrating the Python Nox library, resulting in streamlined development workflows
Resolved Kotlin and MySQL RESTful API backend data retrieval issues by debugging on Linux, updating MySQL queries, and refining Kotlin validation methods, boosting system reliability and access
Utilized fixturesets in MySQL to generate test data, validating the new pipeline's output for accuracy and reliability

Software Engineer

2020 - 2021

Ponddy Education Inc., Taipei, Taiwan

Created a Python-based web scraping tool that autonomously aggregated data from more than 10,000 articles, reducing the time required for data aggregation by approximately 90%, saving over 200 hours of manual work per month
Employed AWS EC2 instances to run and manage the data pipeline, ensuring high availability and performance
Migrated database code from PostgreSQL to Django's ORM, optimizing data handling and framework efficiency
Scheduled and managed tasks with Apache Airflow, ensuring regular, automated data pipeline collection with robust monitoring
Utilized AWS S3 for efficient and structured data storage, ensuring easy access and management of collected data