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minsuking/README.md

Minsu Kim

Senior Software Engineer building backend platforms, AI systems, and production-grade software.

I have 11+ years of experience designing enterprise backend systems, distributed integrations, and performance-critical applications. My current work focuses on retrieval systems, AI infrastructure, and building software that remains reliable, maintainable, and observable in production.


Selected Highlights

  • 11+ years of professional software engineering experience
  • Building enterprise backend systems and AI retrieval platforms
  • Global Rank #10 — LeetCode Weekly Contest 504
  • LeetCode Guardian (Top 1%)
  • Bronze Medalist — Korean Olympiad in Informatics
  • 1st Place — Republic of Korea Air Force Cyber Security Competition

Current Focus

  • Backend Architecture
  • Enterprise AI Systems
  • Retrieval-Augmented Generation (RAG)
  • Hybrid Search & Retrieval Evaluation
  • Open Source Engineering
  • Performance & Reliability

Engineering Principles

I enjoy building software that remains understandable years after it is written.

  • Design for maintainability before complexity.
  • Prefer measurable engineering over assumptions.
  • Build systems that are observable and testable.
  • Keep interfaces simple and explicit.
  • Treat AI applications as engineering systems where retrieval quality, evaluation, latency, reliability, and safety matter equally.

Selected Projects

Enterprise Retrieval Platform (Public version in progress)

A production-inspired retrieval platform demonstrating document ingestion, embeddings, hybrid retrieval, reranking, evaluation, and local LLM integration using synthetic enterprise documents.

Algorithm Portfolio

Curated algorithm solutions, contest notes, and problem-solving patterns.

Backend Automation

Developer-focused automation and backend tooling designed to improve operational efficiency.


Open Source

I'm currently preparing meaningful upstream contributions to the MONAI ecosystem.

My goal is to contribute production-quality improvements in documentation, testing, developer experience, and engineering quality. Verified upstream contributions will be linked here after they become public.


Core Technologies

Languages

  • Java
  • Python
  • C++

Backend

  • Spring
  • FastAPI
  • REST APIs

Databases

  • PostgreSQL
  • Oracle
  • Redis

AI Systems

  • Retrieval-Augmented Generation (RAG)
  • Semantic Search
  • Hybrid Search
  • Vector Retrieval
  • Local LLM Infrastructure

Engineering

  • Distributed Systems
  • Docker
  • GitHub Actions
  • Performance Optimization
  • System Design

Connect

Popular repositories Loading

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  2. tutorials tutorials Public

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  5. MONAI MONAI Public

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    AI Toolkit for Healthcare Imaging

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  6. minsuking.github.io minsuking.github.io Public

    Ruby