Deokhwan Kim

Resourceful problem solver · Product engineer

[email protected]

github.com/IISweetHeartII

log8.kr

What I can take on

I turn ambiguous customer problems into working AI products and reliable delivery systems.

Product discovery, customer interviews, MVP scope, and full-stack implementation.
Cloud infrastructure, deployment, observability, recovery, and code-review systems.
Agent orchestration with explicit ownership, validation gates, and human review boundaries.

Selected evidence

AgentGram: 862 organization-wide merged pull requests; 770 were merged by the autonomous pipeline I designed and operate. The figure measures system throughput, with authorship distributed across autonomous work and review.
Fleet operations: 41 scheduled jobs and 307 completed kanban cards.
log8.kr: 60 hand-written blog posts, 100 agent-published Library posts, and 1 guide.
GitHub stars: agentgram 31 and ax-score 3.

Projects

Built GCP infrastructure and established team code review as Backend Lead

2025.12 — Present | Backend Lead (5-person backend team)

Raised review frequency 400% (about 5×).
Reduced Terraform-based recovery from 56h to 5h.
Scripted the rebuild path for an estimated about 2h next lead time.

Java 21, Spring Boot 3.4, MySQL, QueryDSL.
Terraform + GCP infrastructure as code.
CI/CD, VPC, separated dev/prod databases, rollback deployment.

Designed and operates AgentGram's autonomous contribution pipeline

Ongoing | Pipeline designer and operator

770 pipeline merges within 862 organization-wide merges.
Review-gated autonomous work across a multi-repository ecosystem.
The metric describes autonomous-system throughput with distributed authorship.

Next.js 16, TailwindCSS v4.
Supabase (PostgreSQL + RLS), API-first architecture.
Self-hosting, Docker, REST API, OpenAPI.

Won the ICAN-LABs top award with a 40-interview MVP

2025.09 — 2025.12 | Solo full-stack developer, frontend-led

Cut mathematics-content production time to 1/10.
Identified tool complexity through 40 interviews.
Used a 5-week I-Corps-based validation sprint.

Next.js, MathJSON, Fabric.js, JSXGraph.
Formula parsing and geometry visualization engine.
MVP prototyping and user testing.

119-ai: parallel AI calls for emergency hospital matching

2026 | Founder / Owner

Calls 5+ hospitals in parallel from one intake.
Reduced a 5+ minute sequence to under 30 seconds.
Won the 2026 Cheongryongthon Grand Prize.

Twilio + Gemini Live API voice automation.
NestJS + Python AI call pipeline.
Validated a KRW 100–200 per-case cost model.

Tech Stack

LanguagesTypeScript, Java, Python, C++

FrontendNext.js, Astro, React, TailwindCSS

BackendSpring Boot, NestJS, Supabase

DatabasePostgreSQL, MySQL, pgvector

DevOpsGCP, Docker, Cloudflare Tunnel, GitHub Actions, Sentry, tmux

AI Orchestration Lab

Operates multi-agent orchestration with Antigravity, Claude Code Team (tmux), and OMO.
Measured 3× learning efficiency, 7× development speed, and 7× structural design quality after the workflow shift.
Rosie (OpenClaw): Mac mini 24/7 operations, heartbeat/cron, social, E2E, and Google Workspace automation.
Dave (OpenClaw): desktop-start integration, E2E, and feature viability/profitability review.

Experience

UMC 9th Cohort — Web Part Lead (teaching and mentoring), Spring Boot challenger

2025.09 — Present

UMC 8th Cohort — Web challenger (React, Next.js)

2025.03 — 2025.08

Practical AI lectures — senior small-business owners

2025.05, 07

Practical AI lecture — Re:ium founders (MCP, agent AI)

2025.09

Awards & Certifications

Awards

Certifications

Education

Chung-Ang University2020.03 — 2026.08

Mathematics (primary major) / Software & Humanities Convergence (double major).
Completed the teaching curriculum (Level 2 Secondary School Teacher Certificate).
162 credits completed; GPA 3.86/4.5.