Yuneui Jeong

Yuneui Jeong Email and Phone Number

CTO @ DBDLAB @ DBDLAB(디비디랩)
Yuneui Jeong's Location
Seoul, South Korea, Korea, Republic of
About Yuneui Jeong

Yuneui Jeong is a CTO @ DBDLAB at DBDLAB(디비디랩). They possess expertise in natural language processing, machine learning, tensorflow, midi programming, python and 7 more skills. They is proficient in French, Japanese and English.

Yuneui Jeong's Current Company Details
DBDLAB(디비디랩)

Dbdlab(디비디랩)

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CTO @ DBDLAB
Yuneui Jeong Work Experience Details
  • Dbdlab(디비디랩)
    Chief Technology Officer
    Dbdlab(디비디랩) Oct 2024 - Present
    Seoul, South Korea
  • Dbdlab(디비디랩)
    Tech Lead
    Dbdlab(디비디랩) Jun 2023 - Oct 2024
    Seoul, South Korea
    - Directed key technical decisions, including defining development strategies and methods, to ensure cost-efficiency and optimize system performance, resulting in reduced AWS expenses.- Mentored individual team members, a contribution highlighted positively in performance reviews, which accelerated feature development and increased code coverage by over 30%p.- Designed and implemented Kubernetes and Terraform-based AWS architectures. Adopted Kubernetes Gateway API using Envoy Gateway for external routing toward clusters, enabling centralized and efficient authentication and traffic control.- Contributed directly to business logic using Spring Boot and Django, effectively adapting to the startup's dynamic environment.
  • Bucketplace (오늘의집)
    Devops Engineer
    Bucketplace (오늘의집) Mar 2022 - Jun 2023
    Seoul, South Korea
    - Managed cloud infrastructure and Kubernetes clusters, implementing the GitOps paradigm using ArgoCD, enabling the seamless deployment of numerous new microservices with a simple sign-off process from DevOps engineers.- Contributed to a project aimed at reducing management points by integrating internal and partner authentication systems into a single, plugin-based framework. This involved architectural design and development using Spring Boot.
  • Amazon Web Services (Aws)
    Cloud Support Engineer
    Amazon Web Services (Aws) Jul 2021 - Mar 2022
    Seoul, South Korea
    Analytics Profile- Troubleshooting and finding the root causes of problems on Amazon Redshift
  • Wehealed
    Software Engineer
    Wehealed Oct 2019 - Jul 2021
    Seoul, Korea
    Developing & maintaining 'LikeFit' (Home workout application with AI)- Container management using Kubernetes with clusters managed by AWS EKS- CI/CD using Travis CI, Github, and Kubernetes- Provisioned AWS resources with Terraform.- Developed REST API server apps using Django
  • Humelo
    Sw & Ml Engineer
    Humelo Jul 2018 - Oct 2019
    Seoul, Republic Of Korea
    Cloud infrastructures, REST API, NLP researchPublication- Jungbae Park, Kijong Han, Yuneui Jeong, and Sang Wan Lee, “Phonemic-level duration control using attention alignment for natural speech synthesis,” in Proc. ICASSP. IEEE, 2019
  • 스캐터랩 (Scatterlab)
    Machine Learning Engineer
    스캐터랩 (Scatterlab) Dec 2017 - Feb 2018
    Seoul, South Korea
    Machine Learning Team (Pingpong)- Natural Language Processing
  • Sk Hynix
    Software Engineer
    Sk Hynix Dec 2015 - Feb 2016
    Seongnam, Gyeonggi, South Korea
    Software Division- Linux file systems for NAND flash controllers

Yuneui Jeong Skills

Natural Language Processing Machine Learning Tensorflow Midi Programming Python C++ Html5 Php Opengl Linguistics Phonetics Computational Linguistics

Yuneui Jeong Education Details

Frequently Asked Questions about Yuneui Jeong

What company does Yuneui Jeong work for?

Yuneui Jeong works for Dbdlab(디비디랩)

What is Yuneui Jeong's role at the current company?

Yuneui Jeong's current role is CTO @ DBDLAB.

What schools did Yuneui Jeong attend?

Yuneui Jeong attended 한국과학기술원(Kaist).

What are some of Yuneui Jeong's interests?

Yuneui Jeong has interest in Machine Learning, Natural Language Processing, Music.

What skills is Yuneui Jeong known for?

Yuneui Jeong has skills like Natural Language Processing, Machine Learning, Tensorflow, Midi Programming, Python, C++, Html5, Php, Opengl, Linguistics, Phonetics, Computational Linguistics.

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