About Me

I'm Sheng-Wei (Roger) Fan, a CS student at NTHU. I work across the stack: front end, backend services, and the servers and networking that keep them up. I've also done computer vision research, and I use LLM agents every day at work and on side projects, mostly directing them and checking what comes back.

A lot of what I build comes from wanting to fix my own setup. I wrote an Obsidian plugin because I couldn't follow heading levels in long notes. I put months into my Neovim config because I do most of my work over SSH and wanted a real IDE there, and now I use it locally too. This site runs on hardware I own, down to DNS and mail. The setup below is the one I open every morning.

Private documents ·

Dev Environment

Dev Environment
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View Dotfiles Repo

My everyday terminal environment — Neovim, Tmux, and Zsh, customized in Lua and shell and Catppuccin-themed throughout. It's tuned to handle everything from coding to LaTeX and notes, and one script sets it all up on a fresh macOS or Linux machine.

  • One-command bootstrap: initialization.sh installs Neovim, Nerd + CJK fonts, Tmux, and CLI tools (ripgrep, fzf, bat), then symlinks every config into place
  • Neovim tuned into a full IDE: 60+ lazy-loaded plugins covering LSP (Mason), completion, linting, formatting, Telescope, Treesitter, and Copilot — backed by 950+ lines of keymaps
  • More than an editor: LaTeX with VimTeX, LeetCode with leetcode.nvim, and Obsidian notes with live Markdown rendering — all without leaving Neovim
  • Git in-editor: inline hunks with gitsigns and a full lazygit TUI
  • Tmux + Zsh: custom-styled status bar, session restore, and seamless pane jumps between Neovim splits and Tmux (vim-tmux-navigator); Zsh with Powerlevel10k, autosuggestions, and syntax highlighting
  • Layered config: a tracked universal layer plus a gitignored per-machine layer, keeping machine-specific tool paths (Flutter, gcloud, uv…) out of the shared dotfiles

Education

National Tsing Hua University

Bachelor of Science in Computer Science

Aug 2023 - Present
  • GPA: 4.24/4.3 (Top 2% in Department of Computer Science)

Key Courses

Algorithms
Data Structures(A+)Competitive Programming(A+)Algorithm(A+)
Systems
Computer Architecture(A+)Operating System(A+)Computer Network(A+)
Cloud
Cloud Programming(A+)Cloud Native Development(A+)
AI/ML
Machine Learning(A+)Gen AI App Systems & Engineering(A+)LLMs in Cybersecurity(A+)Computer Vision(Lab)Reinforcement Learning(Lab)
Software
Software Studio(A+)Computer System Administration(A+)Cyber Security(A+)
Hardware
Logic Design(A+)Hardware Design & Lab(A+)

Experience

R&D Intern

Synology (NAS Group · C2 Division · CAT Team)

Jul 2026 - Aug 2026New Taipei, Taiwan
  • Built the Vue front end for a license upgrade feature serving customers, resellers, and distributors — delivered through weekly iteration with PM, UX/UI, and QA, and a strict code review process.
  • Extracted SMS delivery from a monolithic backend into a standalone Go service, with the data model and delivery semantics settled with the team before implementation — asynchronous send, transactional enqueue, idempotent retries, multi-pod concurrency, signed callbacks, and state derived from records rather than held in memory.
Receiving the certificate of internship from the VP
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Receiving the certificate of internship from the VP

With my manager and mentor
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With my manager and mentor

VueGostrict code reviewsystem design

Summer Research Intern

Institute of Information Science, Academia Sinica

Jul 2025 - Aug 2025Taipei, Taiwan
  • Built head-wise cross-attention heatmaps that surfaced failure patterns, pinpointing and fixing flaws in a video-editing diffusion model.
  • Designed experiments with custom object-crossing datasets, exposing the limitations of VideoGrain.
PyTorchComputer VisionModel Interpretability

Teaching Assistant

Introduction to Programming (II) & Linear Algebra, NTHU

Feb 2025 - Jun 2026Hsinchu, Taiwan
  • Built a C++/Allegro game template that let students apply OOP concepts in a full project.
  • Designed and graded assignments, projects, and exams for 70+ students across three English-taught semesters.
C++TeachingCourse Design

Awards

Top Prize, 2026 AIWave: Taiwan GenAI Hackathon | NT$100,000
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Top Prize, 2026 AIWave: Taiwan GenAI Hackathon | NT$100,000

1111 Job Bank Challenge · powered by AWS

Aug 2026

Built SkillWeave, an AWS job search ranking system: Bedrock normalizes and expands the query, OpenSearch (BM25 + embedding kNN) narrows 1.2M postings to 200, and a LambdaMART re-ranker trained on real search logs orders them against a weighted Neptune skill graph and a geo graph of Taiwan's administrative districts, so every result carries an evidence trace for why it surfaced. I owned the Bedrock query layer — batched calls at 10:1 compression and a two-tier cache (offline precompute + runtime LRU) keep LLM parsing off the request critical path.

In the News

TechNice
TechNice·LINE TODAY·Rakuya·WatchMedia·TechNice AI Feature
College of EECS Outstanding Student Scholarship | NT$120,000
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College of EECS Outstanding Student Scholarship | NT$120,000

National Tsing Hua University

Jun 2026

Merit award given to the college's top-ranked students, selected through a review of both academic and extracurricular performance.

3rd Place, 2026 TSMC IT CareerHack — AAID Challenge
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3rd Place, 2026 TSMC IT CareerHack — AAID Challenge

TSMC IT CareerHack

Feb 2026

Addressed the challenge of single-image outdoor light estimation by conducting comprehensive error analysis and 25+ ablation experiments. Identified and mitigated the model's reliance on global geometric anchors (horizon lines) by introducing Spatial Attention (CBAM) and optimizing backbone architectures. The final EfficientNet-ResNet hybrid model achieved 0.9867 AUC on the SynthStreet dataset.

1st Place, NSF HDR Scientific-MOOD Hackathon in Taiwan
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1st Place, NSF HDR Scientific-MOOD Hackathon in Taiwan

US National Science Foundation (NSF) Harnessing the Data Revolution (HDR)

Jan 2026

Developed ML models to predict drought severity (SPEI index) from NEON ground-beetle specimen images. The challenge emphasizes out-of-distribution generalization, requiring models to perform reliably across unseen ecological sites with different climates and species distributions.

Academic Achievements Award

National Tsing Hua University

Spring 2024

Skills

Languages

C/C++PythonGoLuaDartJavaScriptTypeScriptSQLBashLaTeXVerilog

Frameworks

FlutterNext.jsReactVue.jsTailwind CSSAuth.jsPyTorchScikit-learn

Tools & Technologies

GitDockerFirebaseAWSPostgreSQLPrismaMongoDBNginxPostfixWireGuardBind9NeovimTmuxZshWeztermVivadoAllegro