# Coda Chang

> Senior Software Engineer @ LinkedIn | Python, Flask, React, Full Stack

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/coda

With over 8 years of experience in software engineering, currently contributing to LinkedIn's mission of creating economic opportunities by developing tools that enhance engineering productivity and app performance. Leveraging skills in Python, Flask, React.JS, and TypeScript, work focuses on improving code review processes, optimizing web performance, and building internal tools like the App Health Dashboard to monitor mobile, web, and API metrics

## Work Experience
### Senior Software Engineer @ LinkedIn
Jan 2022 – Present | 紐約州, 美國
- Built and operated platform features that improved engineer productivity (code review tooling, on-call workflow refactor), increasing efficiency by 17% and reducing review time by 29.5%.
- Owned backend/service upgrades and operational hygiene (Fastify/Node.js), improving security compliance and service reliability for a high-traffic production environment.
- Designed and drove observability initiatives (performance metrics plan + dashboards), enabling data-driven prioritization and sustained performance improvements.
- Built internal platform tooling (e.g., IntelliJ plugin, navigation/rendering utilities) to accelerate development and reduce onboarding friction.
- Led cross-team reliability work by diagnosing complex contract/serialization/state issues and driving durable, regression-resistant fixes.
- Maintained strong Web performance fundamentals (Core Web Vitals, bundle budgets, CI enforcement) as a supporting strength for platform work.

Tech stack: Python, Flask, React.JS, Typescript, SQL.

### Software Engineer @ Qualcomm
Jan 2020 – Jan 2022 | 聖地牙哥, CA
- Created the Qualcomm CI/CD platform and merged on-prem and AWS cloud solutions, optimizing the IC chip software development environment using Python, Flask, bash scripts, and docker containers.

- Addressed the sluggishness in dependency calculation by prioritizing job sequence and separated the system using a message queue, enhancing both availability and handling high QPS efficiently.

- Designed an on-prem and AWS hybrid workflow solution that integrated AWS ARM-based machines, enabling the efficient deployment of development environments with structured schema data.

### Software Engineer Intern @ MediaTek
Jan 2019 – Jan 2019 | 奧斯汀地區
- Designed and migrated the architecture of the workflow for the EDA tool to AWS in a highly available and scalable solution
- Created a job management server hosting RESTful APIs by Rails, which chips designers can submit EDA jobs into AWS and keep tracking of them.
- Replaced the load sharing queue and distributed executors from local cluster servers with AWS SQS to provide a highly available system.
- Introduced Docker-based services running by AWS Batch, ECS, ECR to build a flexible and easy-deploy pipeline for future development.

### Software Engineer @ 英屬維京群島商幫你優(股)公司台灣分公司(BoniO TW Branch)
Jan 2016 – Jan 2018 | Taipei City, Taipei City, Taiwan
- Built the education gaming platform on AWS with Ruby on Rails & React.js, real-time user up to 10K.
- Advanced the testing pipelines by Jenkins and docker container, fully integrated with the Github action. (reduce 10% bugs)
- Enhanced and unified the API documentation for a faster-developing cycle and by Swagger, Swagger-UI, and API Blueprint.
- Developed a project that deployed web services with Docker containers and helped the company receive a client's offer (TSMC).
- Introduced cloud microservices (AWS Lambda) and integrated with daily report generator (Reduce 50% of memory used and 10% cost).

### Software Engineering Intern @ DGSOFT
Jan 2015 – Jan 2015 | 桃園市
- Co-worked with senior engineers and built, maintained multiple government websites by ASP.NET, JavaScript, Git.


## Education
### Master's degree in Computer Science
University at Buffalo
Jan 2018 – Jan 2020

### Bachelor's degree
Yuan-Ze University
Jan 2011 – Jan 2015


## Contact & Social
- LinkedIn: https://linkedin.com/in/codachang

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Source: https://flows.cv/coda
JSON Resume: https://flows.cv/coda/resume.json
Last updated: 2026-03-22