Summary
Overview
Work History
Education
Skills
Websites
Certification
Accomplishments
Blog
Timeline
Generic

EUNSUNG SHIN

Software Engineer

Summary

Solutions-oriented Software Engineer with 4+ years of experience in cloud architecture and ML/AI implementations. Demonstrated expertise in resource optimization and cloud-native solutions while experiencing company growth from seed to Series B, uniquely positioning me to understand technical challenges of growing companies. Proven track record of delivering MVPs and successful PoCs, combining ML/AI expertise with pragmatic engineering approaches to maximize business impact within resource constraints. Strong focus on building scalable, cost-effective solutions that enable rapid growth while maintaining technical excellence.

Overview

4
4
Certifications

Work History

ML Platform Engineer

PetFins
  • Developed ML-driven insurance premium prediction system that analyzes pet health data to forecast veterinary costs and determine appropriate insurance rates
  • Architected and implemented an end-to-end veterinary cost prediction service on Naver Cloud Platform
  • Designed and deployed ML model retraining pipeline, achieving 90% prediction accuracy
  • Implemented zero-downtime deployment using MLflow for model monitoring and continuous delivery

Computer Vision Engineer

AgileSoDA
  • Led development of text detection model achieving 93% accuracy for processing 60,000 daily documents
  • Optimized OCR pipeline using GPU acceleration, reducing inference time by 30%
  • Implemented semi-supervised learning techniques, improving handwriting recognition by 4%
  • Automated data collection processes, significantly reducing labeling costs

ML Engineer, Intern

AgileSoDA
  • Vehicle Damage Cost Prediction Based on Vehicle Image(Featured at NVIDIA GTC 2020)
  • Developed image classification model achieving 91% accuracy for damage assessment
  • Optimized CNN architecture selection based on accuracy and inference speed requirements
  • Created custom labeling tools to streamline data annotation process

Education

Bachelor of Science - QTM(Quantitative Theories&Methods)

Emory University
04.2001 -

Skills

    Operations & Infrastructure: AWS, Kubernetes, Docker

    Programming Languages: Python, Java, JavaScript

    ML/AI & Data Science: PyTorch, TensorFlow, LangChain

    Databases: PostgreSQL, MySQL, Redis, Vector DB (ChromaDB)

    Web Frameworks: FastAPI, Django, Spring Boot

Certification

Certified Kubernetes Administrator (CKA)

Accomplishments

AI Hackathon Winner(SpartaCoding Club)

  • Led backend development for an innovative resume analysis system that won first place among 10+ teams
  • Architected scalable solution using LangChain for LLM orchestration and ChromaDB for vector similarity search
  • Demonstrated practical application of AI technologies by building production-ready application within 24-hour hackathon timeframe

Technical Blogger(since 2020.10)

  • Active member of developers' writing community 'Geulddo'(글또)

Blog

www.watanka.github.io

Timeline

Bachelor of Science - QTM(Quantitative Theories&Methods)

Emory University
04.2001 -

ML Platform Engineer

PetFins

Computer Vision Engineer

AgileSoDA

ML Engineer, Intern

AgileSoDA

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EUNSUNG SHINSoftware Engineer