• Provided material science industry expertise and guidance for proof-of- concept (PoC) projects, collaborating with cross-functional teams to deliver successful outcomes that met clients' business needs. • Containerized an existing material analysis platform software into microservices and implemented a machine learning pipeline using AWS services, resulting in improved scalability, flexibility, and advanced analytical capabilities for clients. • Mentored and trained junior data scientists in industry-standard software development practices, with a specific focus on rigorous testing for machine learning (ML) features.

beBit | Mar 2019 - Sep 2020

Data Scientist

• Involved in full-cycle development of machine learning features for website analytics tool, from algorithm design to production deployment. • Conducted weekly reporting to stakeholders on behalf of the team, providing updates on project progress and facilitating ongoing dialogue to ensure alignment and address concerns. • Provisioned Terraform infrastructure and built data pipelines using AWS services (Lambda, Batch, API Gateway, EKS) for multiple projects. • Optimized logging and monitoring systems for back-end services leveraging AWS CloudWatch and Datadog, resulting in enhanced system stability and reduced downtime. • Facilitated automation of development workflows by integrating CI/CD tools, including CircleCI and GitHub Actions, across multiple projects’ repositories.

My Education

Take a look at my formal education

Master's degree, Applied MathematicsNational Tsing Hua University | 2017

Bachelor's degree, Finance, Electrical EngineeringNational Tsing Hua University | 2015

About Me

As a Kaggle expert with extensive experience in MLOps, proficient in both AWS and GCP, I am a data scientist keen on leveraging my skills in a freelance capacity to drive actionable insights and innovative solutions.

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