Ting-Yu (Frank) Yen

I am currently a Software Development Engineer II in Amazon Web Services.

Hard Worker and Fast Learner
- Professional Languages: Java, TypeScript, C++, C#, Python, Bash, LaTex, MySQL, HTML, CSS
- Technologies: AWS (Lambda, S3, API Gateway, DynamonDB, Step Function, Kinesis Stream, Batch, SQS, CloudWatch, Cloudformation), Git, Docker, ASP.NET, Node.js
- Concepts: Micro-service, RESTful APIs, Agile Project Management, CI/CD, Database Systems, Compiler, Operating System, Data Structure and Algorithm, Artificial Intelligence, Natural Language Processing, Web Retrieval and Mining

Experience

Software Development Engineer II, Amazon Web Services (AWS)

  • AWS Infrastructure, Data Center Supply Chain Automation (Backend)
  • Jul. 2022 ~ Current
  • Working on the Physical Assets Service, the central source for all AWS data center assets, ensuring their location, composition, and lifecycle state are accurate and accessible for Supply Chain services.
  • Designed and built CRUD APIs that streamlined the digital verification workflow for AWS servers, leading to a 99.9%+ success rate and simplified customer interactions
  • Increased team integration test success rate significantly, identified and resolved test errors, and developed a user script saving engineers time and improving overall workflow

Software Development Engineer, Amazon Web Services (AWS)

  • AWS Security Hub (Backend)
  • May. 2021 ~ Jul. 2022
  • Engaged in Security Hub, which is a comprehensive console for AWS users to monitor security alerts and security posture.
  • Refactored a monolithic service for Security Hub, creating modular microservices for DynamoDB interaction and UI control. This shift improves scalability and simplifies future maintenance.
  • Managed risks during the rollout of new Security Hub APIs, ensuring backward compatibility with existing systems, implementing tests, and monitoring for potential issues.

Software Development Engineer Intern, Amazon Web Services (AWS)

  • AWS Security Hub (Backend)
  • Jun. 2020 ~ Aug. 2020
  • Designed and implemented a feature flag system using Java on AWS Lambda for dynamic A/B testing across all product accounts. This included building a Node.js client and a REST API (API Gateway) for seamless integration with front-end and back-end services.
  • Created detailed design documents and wiki outlining the A/B testing tool’s architecture, workflow, and APIs.
  • Successfully secured a return offer after the internship, showing strong technical skills and valuable contributions.

Software Development Engineer Intern, Microsoft

  • Microsoft Bing Search (Backend)
  • Sep. 2017 ~ Jun. 2018
  • Engaged in Bing, which is the second most popular search engine in the whole world.
  • Upgraded APIs for multiple internal platforms under tight deadlines, ensuring smooth integration and functionality. Presented the work effectively during cross-country conference calls.
  • Designed and implemented a testing tool with optimized workflows and pipelines. This automation reduced engineers’ testing time by over 40%, enhancing overall development efficiency.

Software Development Engineer Intern, IBM

  • Jul. 2017 ~ Aug. 2017
  • Modified back-end of a parser product from pipeline to parallel workflow by Celery and improved its performance by more than 50%.
  • Designed an solid back-end workflow that can distribute gigantic log message to specific parser program with aid of RabbitMQ.
  • Added python coding style linter into their continuous integration pipeline, which is TravisCI, in order to maintain coding style consistency for the whole team.

Software Development Engineer Intern, Infofab

  • Sep. 2016 ~ Dec. 2016
  • Integrated BPM program to the cloud system and completed the production test.
  • Constructed a business process management program for leave and reimbursement application with an open-source software.

Research Assistant, NLP Lab, NTU

  • Sep. 2016 ~ Feb. 2019
  • Advised by Prof. Hsin-Hsi Chen
  • My research interest is ontology embedding.
  • One paper nominated as best papers award on COLING18. Papers accepted by LREC20, COLING18, WWW18, CIKM17. Journals accepted by NLE and JASIST.

Research Intern, Academic Sinica

  • Jul. 2016 ~ Aug. 2016
  • Performed thorough surveys on social networks papers in a short period of time and shared with lab members during team meetings.

Awards

2023 AWS SCM Hackathon 1st Place

  • AWS SCM, Seattle, WA, USA.

Academic Presidental Award, NTU CSIE Dept. (Spring'18)

  • Jun. 2018, Taipei, Taiwan.
  • This award is given to students with ranking top 5% in class.

Best Papers Award Nomination, COLING 2018

  • Aug. 2018, Sante Fe, NM, U.S.A.
  • Nominees for Best Paper. (44/888, 4%)

First Prize, 2017 Senior Project Contest of NTU CSIE

  • Jun. 2018, Taipei, Taiwan.
  • Awarded best senior project (out of 16 senior projects) by faculty vote and received $30,000 academic scholarship.

ADBERT AI Research Award, ADBERT CO.,LTD

  • May. 2018, Taipei, Taiwan.
  • Received $50,000 scholarship from ADBERT CO. due to outstanding research performance.

Recent Publications

Yang-Yin Lee, Ting-Yu Yen, Yow-Ting Shiue, Hen-Hsen Huang, and Hsin-Hsi Chen (2023). “On generalization of the sense retrofitting model”, Natural Language Engineering (NLE)

Ting-Yu Yen, Yang-Yin Lee, Yow-Ting Shiue, Hen-Hsen Huang, and Hsin-Hsi Chen (2020). “MSD-1030: A Well-built Multi-Sense Evaluation Dataset for Sense Representation Models”, LREC'20

Yang-Yin Lee, Hao Ke, Ting-Yu Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2019). “Combining and Learning Word Embedding with WordNet for Semantic Relatedness and Similarity Measurement”, Journal of the Association for Information Science and Technology (JASIST)

Yang-Yin Lee*, Ting-Yu Yen*, Hen-Hsen Huang, Yow-Ting Shiue and Hsin-Hsi Chen (2018). “GenSense: A Generalized Sense Retrofitting Model”, COLING'18 (Best Paper Award Nomination)

Ting-Yu Yen*, Yang-Yin Lee*, Hen-Hsen Huang and Hsin-Hsi Chen (2018). “That Makes Sense: Joint Sense Retrofitting from Contextual and Ontological Information”, TheWebConf'18 (WWW'18).

Yang-Yin Lee, Ting-Yu Yen, Hen-Hsen Huang and Hsin-Hsi Chen (2017). “Structural-fitting Word Vectors to Linguistic Ontology for Semantic Relatedness Measurement”, CIKM'17

* indicates equal contribution.

Contact

Address:

Seattle, Washington

E-mail:

y95847@gmail.com