CONTACT

📞 +82-10-6795-9369

📩 [email protected]

🌐 https://yjkellyjoo.site/

LANGUAGES

natural

🇰🇷 Korean: native

🇺🇸 English: proficient

🇫🇷 French: fluent

programming

• Python
• Kotlin
• Java

SKILLS

• Web3
• Spring Framework
• FastAPI
• MySQL
• MongoDB

SOCIALS

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STATS

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$$ \Huge \textbf {Yejin Kelly Joo} \\ \small Blockchain\ Backend\ Developer $$

3rd-year Junior Software Backend Engineer who makes much account of clean and secure coding. Currently interested in blockchain platforms and **its backend engineering.

PROFESSIONAL EXPERIENCE

2022.04 - present

2y. 3m. ~

Blockchain Backend Developer | PILAB Technology, Inc.

Backend engineer of the Bifrost Network (Layer 1 EVM-compatible Blockchain Network providing Multichain swap functionalities).

• In charge of the creation and maintenance of the *Bifrost API Service,* a gateway service for external clients to access multiple internal micro-services within our company's ecosystem.
• In charge of the development and maintenance of the *Bifrost Multichain Observer,* a component within the BIFROST Network's infrastructure:
  1. Observing and storing event data related to Bifrost Bridge contracts into a database.
  2. Aggregating and providing this data through a REST API.
  3. Monitoring and identifying abnormal situations within the bridge infrastructure through the collected data.
• In charge of the development of *BFC Airdrop,* a scheduled job script in Python intricately designed to identify and airdrop BIFROST Network coins to new users of the Bifrost Bridge.

Technical stacks: Kotlin, Spring Cloud Gateway, Spring Security, Python3, FastAPI, uvicorn, flask-restx, MySQL, MongoDB, Web3, Blockchain

2018.09 - 2019.08

11m.

Engineering Intern | IOTCUBE Inc.

Intern in the dev. team of a start-up computer security company

• Built a ****NVD data crawling scheduler in Java with **Spring Boot and MyBatis which would run in the background on a linux server, periodically collect data from the NVD and update a local database designed on MySQL DBMS.
• Built a Named Entity Recognition model (based on Natural Language Processing) which will locate product names from CVE’s description sentences. The located product names are then used in SQL search queries to suggest which products from the DB may be related to this CVE.

Technical stacks: Java, Spring Boot, MyBatis, MySQL, NLP, NER, CVE

EDUCATION

2020.03 - 2022.02

GPA: 4.27/4.5

M.S. Course | Korea University, South Korea

Computer Security, Computer and Communications Security Lab

• 👩🏻‍🔬 Research Participations

2016.02 - 2020.02

GPA: 3.81/4.5

B.S. Course | Korea University, South Korea

Computer and Information Sciences, Information Security Convergence

2013.08 - 2014.05

GPA: 3.5/4.0

B.A. Course | The George Washington University, Washington, DC, USA

Elliott School of International Affairs

INTERESTS

🧩 Extracurricular Activities

🎞 Portfolio

🛠 Project Details