Need a compact version for a quick review? View the résumé (print-ready)

Project 1 / 1

Product engineering · AI systems · automation

Deokhwan Kim

I take ambiguous, human problems and turn them into products—and into delivery systems that keep working.

I can own product discovery, full-stack implementation, cloud infrastructure, and AI-assisted operations. The project pages below show the problem, intervention, and measurable result.

Discuss a project LinkedIn

770 / 862

AgentGram merges from the pipeline I designed and operate / organization-wide merged pull requests

41 · 307

Scheduled fleet jobs · completed kanban cards

60 · 100 · 1

Hand-written blog posts · agent-published Library posts · guide

Projects

Designed an autonomous delivery pipeline that merged 770 pull requests

AgentGram — social infrastructure for autonomous AI agents

OngoingAutonomous pipeline designer and operator

I design and operate the autonomous contribution pipeline behind AgentGram. Across the organization, 862 pull requests have been merged; the pipeline produced 770 of those merges. The 770 figure measures system throughput, with authorship distributed across autonomous work and review.

Product and technical challenge

Problem: Coordinate useful work across a multi-repository ecosystem without lowering review quality.

Approach: Built an issue-to-implementation workflow with isolated branches, automated checks, review gates, and maintainership feedback loops.

Result: 770 pipeline-merged pull requests within 862 organization-wide merges; the live network at agentgram.co has 500+ registered agents and 3,400+ posts; agentgram has 31 GitHub stars.

AI leverage

Autonomous issue triage and bounded implementation
Review-driven retries and validation gates
Cross-repository release coordination

Next.js 16SupabasePostgreSQLRLSOpenAPIDocker

View on GitHub

Operating an agent fleet with 41 scheduled jobs and 307 completed kanban cards

Hermes Fleet — multi-agent orchestration network

OngoingSystem designer and operator

A Mac mini-based fleet that handles research, content, infrastructure health, code review, and market workflows through explicit ownership and written handoffs.

Product and technical challenge

Problem: Keep long-running autonomous work observable, recoverable, and aligned across specialist agents.

Approach: Combined scheduled jobs, shared kanban state, role boundaries, heartbeat checks, and evidence-gated completion.

Result: 41 scheduled jobs across the fleet and 307 completed kanban cards.

AI leverage

Document-based agent handoffs
Health checks and scheduled recovery
Human review at high-risk boundaries

OpenClawtmuxBunTypeScriptAutomation

Established GCP infrastructure and a code-review culture as Backend Lead

Finders — film-lab discovery and booking platform

2025.12 — PresentBackend Lead (11-person team, 5 backend engineers)

Led backend architecture, review standards, and GCP infrastructure for a platform that connects film-camera users with processing labs.

Product and technical challenge

Problem: Inconsistent code quality across 5 backend engineers and a constrained infrastructure budget.

Approach: Documented standards, required pull-request review, used GCP credits, and codified infrastructure with Terraform.

Result: Code-review frequency increased 400% (about 5×); recovery time fell from 56h to 5h.

AI leverage

Stable Diffusion inpainting for light-leak restoration
Java 21 Virtual Threads migration with Claude Code
VPC and IAP SSH architecture

Java 21Spring Boot 3.4MySQLQueryDSLGCPTerraformDocker

View backend repository

Validated a mathematics-content MVP through 40 customer interviews

MathFigure — mathematics content authoring SaaS

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

Found teachers' core tool-complexity pain point through 40 interviews, then used an I-Corps-based 5-week validation sprint to shape the MVP.

Product and technical challenge

Problem: Parse mathematical notation while rendering editable diagrams and graphs in one workflow.

Approach: Combined MathJSON and Compute Engine with Konva and JSXGraph in an accessible authoring interface.

Result: Reduced content-production time to 1/10 of the previous workflow and won the ICAN-LABs top award.

AI leverage

MathJSON specification exploration
JSXGraph rendering optimization
Structured synthesis of 40 interview results

Next.jsMathJSONCompute EngineKonvaJSXGraphVercel

Open the deployed product

Cut emergency hospital-matching calls from 5+ minutes to under 30 seconds

119-ai — AI-assisted emergency hospital matching

2026Founder / Owner

Replaced sequential hospital calls with an AI voice system that can contact 5+ nearby hospitals in parallel from one patient intake.

Product and technical challenge

Problem: Sequential calling creates a dangerous bottleneck during emergency transport.

Approach: Designed a Twilio parallel-dialing pipeline with Gemini Live API voice conversations and a NestJS/Python backend.

Result: Matching in under 30 seconds, a tested cost model of KRW 100–200 per case, and the 2026 Cheongryongthon Grand Prize.

AI leverage

Real-time Gemini Live voice conversations
Automated structured call summaries
Parallel Twilio call orchestration

NestJSPythonTwilioGemini Live API

Open the deployed product

Built and operates a solo full-stack matchmaking service

Duckchinso — a friend-of-Deokhwan matchmaking service

2025.11 — PresentSolo full-stack developer

Turned a growing stream of manual introductions into an operating service with vector similarity matching and AI-generated recommendation reasons.

Product and technical challenge

Problem: Securely deploy from a personal Mac mini while replacing a business-registration-dependent notification channel.

Approach: Used Cloudflare Tunnel for zero-trust exposure and Solapi SMS for notifications.

Result: Live service operation with PortOne payments integrated.

AI leverage

pgvector preference embeddings
Explanations for each recommendation
Automated Docker Compose and certificate operations

Next.jsSpring BootPostgreSQLpgvectorDockerCloudflare TunnelPortOne

Improved API response time by 50% through unified JWT authentication

Omechu — AI-assisted menu recommendations

2025.06 — 2025.08Frontend Developer, authentication owner

When mixed cookie-session and JWT logic blocked the team for 2 weeks, I traced backend logs and proposed a unified token architecture beyond my frontend assignment.

Product and technical challenge

Problem: Conflicting authentication paths made behavior unreliable and API responses slow.

Approach: Unified authentication around JWT and implemented Access/Refresh token lifecycle management.

Result: Response time improved from 420ms to 210ms (50%); the project won a UMC 8th Demo Day Encouragement Award.

AI leverage

Compared session and JWT tradeoffs
Researched token-management practices
Designed Kakao social-login integration

Next.jsTypeScriptNode.jsZustandTanStack QueryVercel

Open the deployed product

Built a bilingual publishing system for human and agent-authored knowledge

log8.kr — personal technology publication

2024.12 — PresentSolo developer and operator

An Astro 5 publication workflow that turns reviewed source material into a searchable site while keeping human writing and agent-published research clearly distinguished.

Product and technical challenge

Problem: Connect authoring, content collections, migration, SEO, and deployment without a heavy CMS.

Approach: Built a feature-first Astro architecture, migrated TailwindCSS v3 to v4, and deployed on Cloudflare Pages.

Result: 60 hand-written blog posts, 100 agent-published Library posts, and 1 guide.

AI leverage

Feature-first refactoring with Claude Code
AST-based TailwindCSS v4 migration
SEO and answer-engine discoverability

Astro 5TailwindCSS v4TypeScriptCloudflare PagesBunMDX

Visit log8.kr

Shipped an MVP in 3 weeks and reached 100 weekly active users

Starterm — startup terminology learning platform

2025.08 — 2025.09Full-Stack Developer (3-person team)

A tailored learning platform for students preparing to enter startup programs through a Hanyang University entrepreneurship course.

Product and technical challenge

Problem: Move from MVP scope to real users within a 3-week delivery window.

Approach: Used Supabase to compress backend work and prioritized the smallest valuable learning flow.

Result: Deployed in 3 weeks and reached 100 weekly active users.

AI leverage

Rapid Supabase authentication implementation
Documentation-led Framer Motion optimization
Feature-priority analysis

Next.jsSupabaseTailwindCSSFramer MotionVercel

Open the deployed product

Experience

UMC 8th / 9th Cohort, Web Part

2025.03 — Present

9th-cohort Web Part Lead and Spring Boot challenger; supported members' learning and reviewed code. In the 8th cohort, owned authentication for Omechu.

Banpo 4-dong Catholic Church, Youth Teacher

2019.09 — 2024.12

Led catechism programs for 30 middle-school students, developing practical communication and empathy.

Practical AI Lectures

2025.05, 07, 09

Delivered 3 sessions for senior small-business owners and founders on ChatGPT, Gemini Gems, NotebookLM, MCP, and agent AI.

Education

Chung-Ang University

2020.03 — 2026.08

Mathematics

Applying mathematical reasoning and structured problem solving to product development. Completing 16 credits in the final semester, graduating in August 2026.

GitHub evidence: agentgram 31 stars; ax-score 3 stars.

Awards

Top Award, ICAN-LABS Graduate Entrepreneurship Program2025.10
Encouragement Award, Tourism AI Competition2025.09
Encouragement Award, UMC 8th Demo Day2025.08
Top Award, 2025 Winter Overseas Education Program2025.02

Certifications

Engineer Information Processing2025.09
SQLD (SQL Developer)2025.09