Hanwha Vision
Senior Research Engineer
Architecture, scale, and the systems that keep teams moving.
Opening the outpost
Architecture, atmosphere, a little everyday life.37°20′ N / 121°53′ WA place to build. A world to explore.
Off · 10 min / day when enabled
THE LIVING ENGINEERING OUTPOST
Jay Shin.
Software Engineer — Systems & AI Engineering
6+ years in production C++ / Linux · Evolving with AI.
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LIVE ENVIRONMENTSan Jose, California/Systems & AI
Built on Systems.
Evolving with AI.
Jay ShinSoftware Engineer
I'm a software engineer with 6+ years of experience building production C++/Linux systems, distributed software, and cross-platform applications. Now pursuing an M.S. in Artificial Intelligence at Santa Clara University, I'm bringing that engineering foundation into AI and ML systems.
Follow the work (opens in a new tab)C++ / Linux / Distributed systems
The engineering foundation
Built for the real world.
Six years in production. Systems that connect.
Tools that make a whole team better.
Mar 2024 – Mar 2026
Hanwha Vision
Research Engineer
Production software across platforms, toolchains, and time zones.
CodeBridge
Technical Instructor
Practical software and AI-tool courses reaching 2,000+ learners.
Selected work
Ideas, engineered.
Production engineering
Professional case studies from six years of building and maintaining systems at Hanwha Vision.
AI experiments & hackathons
Smaller, hands-on projects where I explore AI agents, AI workflows, RAG, and enterprise AI / AX. Each is a focused prototype or independent tool with a specific engineering lesson.
Hackathon MVP · Enterprise AI / AX
RippleBrain
Retrieves company knowledge to trace policy-change impacts, flag exceptions, and draft actions for human approval.
- What I explored
- Connecting RAG, organizational context, and approval-gated agent workflows to enterprise work.
Hackathon MVP · Team project
CardGuard
A collaborative payment-risk prototype built at the Flower Collaborative Agent Hackathon at Stanford.
- What I explored
- Coordinating agents across privacy boundaries, with application rules and human review governing decisions.
Public developer tool
vibe-pro
Reusable engineering review and architecture skills for Claude Code workflows.
- What I explored
- Encoding engineering judgment into reusable agent skills and structured development workflows.
Public web prototype
BridgeToCampus
A 90-day preparation experience for international students, built for the Google Stitch Challenge.
- What I explored
- Taking a product idea through AI-assisted design, interface generation, and a working web prototype.
The next chapter
Systems experience.
An AI direction.
Reliable software is the foundation of useful AI.
I'm pursuing an M.S. in Artificial Intelligence at Santa Clara University, extending my production engineering background into AI and ML systems.
Alongside graduate study, I build hackathon MVPs and independent tools to explore AI agents, RAG, and enterprise AI / AX. These smaller projects give me hands-on experience connecting retrieval, workflow orchestration, and human review to useful products.
Step inside the AI labField notes / AI engineering
In progress
M.S. in Artificial Intelligence
Santa Clara University
Expected June 2028Published work
Agents, RAG & enterprise workflows
RippleBrain, CardGuard, vibe-pro, and BridgeToCampus: focused experiments in agent collaboration, enterprise knowledge, and AI-assisted development.
Explore the projectsBuildEvaluateLearn
Beyond the codebase
Knowledge is meant to travel.
2,000+
Learners reached
I create and teach practical software and AI-tool courses through CodeBridge. Explaining a system is another way of learning to build it well.
Updated October 2026AI agent engineering
Harnesses, loops, and graph-based workflows.
Claude Code & harness engineering
Project context, working environments, and verification.
RAG systems
Classic RAG, GraphRAG, and agentic retrieval.
Selected publicly listed courses · Content taught in Korean
An independent builder, too.
Alongside my systems work, I've developed, deployed, and maintained Flutter mobile applications, taking products from idea to release. My public GitHub also includes web prototypes and developer tools.
Behind the outpost
An engineer who keeps building.
Hi, I'm Jay.
Jaehyup Shin.
I care about how software fits together: the boundaries between components, the tools behind a good build, and the people who have to maintain it.
After more than six years building production software and distributed systems, I'm expanding that foundation into AI and machine learning. I'm based in the San Francisco Bay Area.
Languages
- C
- C++
- Python
- JavaScript
- SQL
Engineering foundations
- Data structures & algorithms
- Software architecture
- Distributed systems
- Networking
- Debugging & performance
Systems & tools
- Linux / Unix
- Embedded Linux
- Qt / QML
- Docker
- Git & code review
AI focus
- Applied AI feature integration
- RAG
- AI agent / harness workflows
- Enterprise AI / AX prototyping
- Machine learning foundations
Education
Santa Clara University
Expected June 2028M.S. in Artificial Intelligence
In progress · Santa Clara, CaliforniaHongik University
February 2020B.S. in Computer Engineering
GPA 3.85 / 4.50 · Seoul, South KoreaThe conversation starts here
Let's build something
that holds up.
Software engineering, systems, and the next chapter in AI.
jshin4@scu.edu