F
resume.go
resume.go
  1. package profile
  2. type Candidate struct {
  3. Name string
  4. Role string
  5. Institution string
  6. }
  7. var Me = Candidate{
  8. Name: "Mr. Woo",
  9. Role: "CS Major",
  10. Institution: "University of NorthEast",
  11. }
research.go
  1. var ResearchInterests = []string{
  2. "Scalable Training and Serving for LLMs",
  3. "Parameter-Efficient Fine-tuning",
  4. "Reproducible Applied ML Workflows",
  5. }
  6. var CurrentFocus = []string{
  7. "Machine Learning Systems",
  8. "Efficient LLM Fine-tuning",
  9. "Model Compression and Inference Optimization",
  10. }
projects.go
  1. type Project struct {
  2. Title string
  3. Period string
  4. Stack []string
  5. Link string
  6. }
  7. var Projects = []Project{
  8. {
  9. Title: "Dimensional Debris",
  10. Period: "2025 - Present",
  11. Stack: []string{"Astro", "TypeScript", "Tailwind CSS", "Preact"},
  12. Link: "https://dimensional-debris.dev/",
  13. },
  14. {
  15. Title: "Interactive Terminal UI Module",
  16. Period: "2025",
  17. Stack: []string{"JavaScript", "DOM Events", "Command Parsing"},
  18. },
  19. {
  20. Title: "Game Tooling and Pipeline Support",
  21. Period: "2024",
  22. Stack: []string{"Unity", "C#", "Pipeline Integration"},
  23. },
  24. }
  25. var Publications = []string{
  26. "Publications available upon request.",
  27. }
contact.go
  1. func Contact() map[string]string {
  2. return map[string]string{
  3. "github": "https://github.com/elonwoo-02/",
  4. "cv": "/cv/mr-woo-cv.md",
  5. "email": "mailto:gongzi_1076@163.com",
  6. }
  7. }
  8. // I am currently applying for MSc programs and seeking research-oriented training opportunities.
resume.py
  1. candidate = {
  2. 'name': 'Mr. Woo',
  3. 'role': 'CS Major',
  4. 'institution': 'University of NorthEast',
  5. }
research.py
  1. research_interests = [
  2. 'Scalable Training and Serving for LLMs',
  3. 'Parameter-Efficient Fine-tuning',
  4. 'Reproducible Applied ML Workflows',
  5. ]
projects.py
  1. projects = [
  2. {
  3. "title": "Dimensional Debris",
  4. "period": "2025 - Present",
  5. "tech": ["Astro", "TypeScript", "Tailwind CSS", "Preact"],
  6. "link": "https://dimensional-debris.dev/",
  7. },
  8. {
  9. "title": "Interactive Terminal UI Module",
  10. "period": "2025",
  11. "tech": ["JavaScript", "DOM Events", "Command Parsing"],
  12. },
  13. {
  14. "title": "Game Tooling and Pipeline Support",
  15. "period": "2024",
  16. "tech": ["Unity", "C#", "Pipeline Integration"],
  17. },
  18. ]
contact.py
  1. contact = {
  2. 'github': 'https://github.com/elonwoo-02/',
  3. 'cv': '/cv/mr-woo-cv.md',
  4. 'email': 'mailto:gongzi_1076@163.com',
  5. }
resume.zh-CN
  1. name = "Mr. Woo"
  2. status = "MSc applicant"
  3. direction = "ML systems and efficient LLM"
highlights.zh-CN
  1. highlights = [
  2. "Machine Learning Systems",
  3. "Efficient LLM Fine-tuning",
  4. "Model Compression and Inference Optimization",
  5. ]
projects.zh-CN
  1. projects = [
  2. "Dimensional Debris (2025 - Present)",
  3. "Interactive Terminal UI Module (2025)",
  4. "Game Tooling and Pipeline Support (2024)",
  5. ]
contact.zh-CN
  1. github = "https://github.com/elonwoo-02/"
  2. cv = "/cv/mr-woo-cv.md"
  3. email = "mailto:gongzi_1076@163.com"