Jhe-Heng Lin / 林哲亨
I build AI systems with research depth, product sense, and a bias toward real-world usefulness.
I am Jhe-Heng Lin, an AI graduate student and builder focused on applied AI systems, observability, and practical workflows. This site is designed to help recruiters, professors, and collaborators quickly understand what I have built, how I think, what I am currently working on, and what kind of teammate I am.
Personal Presence
Jhe-Heng Lin
Based in Taiwan, working across applied AI, observability, and product-minded systems.
Open to internships, research opportunities, and thoughtful collaborations.
Academic Track
CGU AI -> NCU AI M.S.
Final semester at Chang Gung University, graduating in June 2026; starting NCU's International Master's Program in Artificial Intelligence in September 2026.
Publication
ICCCI 2026 Accepted
Accepted paper on Kubernetes-based edge service monitoring and LLM-assisted analysis.
Recognition
1st Place + Popularity Award
CGU CSIE & AI Joint Graduation Project Exhibition, 2026.
Leadership
Team Captain
Led CGU men's varsity basketball to a top-9 national finish in UBA Division III.
Quick Read
What To Know At A Glance
A quick overview of my background, working style, and current direction.
Who I Am
Research-minded builder
I like building AI systems that are technically credible, operationally grounded, and understandable to the people who need to use them.
What I Work On
Applied AI with systems depth
My work currently spans LLM monitoring, RAG systems, observability, edge environments, and AI tools designed for real workflows.
How I Think
Structure first, then polish
I care about clear reasoning, measurable contribution, and whether a system is actually useful beyond a one-time demo.
What Is Active
Three live tracks
I am currently building across research, education, and industry-facing applied AI projects at the same time.
Selected Work
Projects that best represent how I build
These are the projects I would want someone to read first if they were trying to understand my contribution, technical style, and direction.
Featured Research Project
LLM-NSMA Framework
Undergraduate Researcher · Undergraduate Research
Building an intelligent monitoring and analysis framework for Kubernetes-based edge network services by combining observability infrastructure with LLM-assisted diagnosis.
What It Shows
This project reflects how I think: I like turning messy technical environments into systems that are more visible, interpretable, and decision-ready.
Featured Applied Product
EMBA AI Education Platform
AI Engineer · College of Management, CGU
Developing an AI-assisted learning platform for EMBA students with Dify, RAG pipelines, and task-specific AI agents that support real educational workflows.
What It Shows
This project shows that I do not just want to build clever systems. I want to build systems that people actually return to.
Current Direction
What I am currently building
A quick view of the work I am actively building across research, education, and personal initiatives.
In Progress
LLM-NSMA Framework
Research + system design
Continuing to refine the link between infrastructure observability, LLM-assisted interpretation, and publishable research quality.
In Progress
EMBA AI Education Platform
Applied product building
Expanding AI workflows that help EMBA students solve concrete educational tasks with less friction and more relevance.
In Progress
Living CV Website
Personal brand and information design
Turning this site into a recruiter-friendly portfolio that communicates my background, thinking, achievements, and current direction at a glance.
Signals
Recognition that adds credibility
Awards and publications should support the story, not drown it. I want them to function as evidence of depth and execution.
Publication Highlight
LLM-NSMA: An Intelligent Monitoring and Analysis Framework for Kubernetes Based Edge Network Services
Lin, H.-C., Lin, J.-H., Baghban, H., & Goetz, M. (2026).
Accepted for publication and presentation at the 2026 8th International Conference on Computer Communication and the Internet (ICCCI), Okayama, Japan.
Acceptance rate below 55%. This is a strong differentiator and should stay highly visible on the site.
2026
1st Place
CGU CSIE & AI Joint Graduation Project Exhibition
A strong signal of project quality, execution, and presentation strength in a public academic setting.
2026
Popularity Award
CGU CSIE & AI Joint Graduation Project Exhibition
Shows that the work resonated not only technically, but also with a broader audience.
2026
Accepted Publication
ICCCI 2026
Publication acceptance is a rare and valuable differentiator for an early-career candidate.
How I Work
The kind of builder and teammate I try to be
These values show up repeatedly in how I build, collaborate, and lead.
I translate complexity into decisions
Whether the problem is technical infrastructure or an AI workflow, I try to make the next action clearer, not more abstract.
I care about systems and people together
I enjoy the layer where research, engineering, and user needs need to fit together instead of being treated as separate worlds.
I build with ownership
Leadership in projects, classrooms, and on the court has trained me to execute, coordinate, and stay steady under ambiguity.
Contact
Simple paths for recruiters, hiring managers, and collaborators
If there is a potential fit, these are the clearest ways to reach me.
Best for internship, research, and professional outreach.
Professional profile and public background summary.
GitHub
github.com/finysterCode, experiments, and technical artifacts.
Website
henrylincs.autosA living CV site that complements my resume with more narrative and context.