📚 AI & Computer Science Enthusiast | 💻 NLP Specialist | 🌐 Machine Learning Researcher | 🏆 Award-Winning Project Leader
print("Hello, World! I'm Henry, passionate about NLP, AI, and pushing the boundaries of technology!")
- 🎓 MSc in Artificial Intelligence and Data Engineering at University College London (2024 - 2025)
- 🎓 BSc (Hons) in Artificial Intelligence and Computer Science at the University of Edinburgh (2020 - 2024)
- 🏅 Graduated with First Class Honours, Top 10% of the cohort
- 🤖 Deeply passionate about Natural Language Processing, Machine Learning, and AI
- 💡 Experienced in developing cutting-edge NLP applications and machine learning models
- 📝 Published author in WMT @ EMNLP 2024
- 💼 Internship experiences in ML, NLP, and software engineering
- 🏆 Achievements:
- Best Group Project Award, Text Technologies for Data Science (2024)
- Best User Interface, University of Edinburgh SDP Industry Fair (2023)
- Top 10 in International round, MIT Battlecode 2022 Tournament
- Finalist (Top 3%), Google Code-in (2018)
- Programming Languages: Python, JavaScript, SQL
- Frameworks & Libraries: PyTorch, TensorFlow, SpaCy, React.js, FastAPI, Docker
- Machine Learning: NLP, Computer Vision, Active Learning, Model Optimization
- Databases: MongoDB, MySQL
- Tools: Git, Docker, CUDA, Google Cloud Platform
- Soft Skills: Leadership, Teamwork, Project Management, Teaching, Communication
- ⛳ Golf
- 🏸 Badminton
- 🏎️ Racing
- 📝 Advanced cross-cultural translation techniques using large language models in undergraduate thesis
- 📚 Developed the largest Chinese-English Restaurant Menu Dataset
- 💡 Introduced a novel method to identify Culture-Specific Items (CSI) without parallel data
- 📈 Achieved over 7-point improvements in COMET scores, strongly correlated with human evaluations
- 🌐 Paper accepted at WMT @ EMNLP 2024; pre-print available on arXiv
- 🏆 Awarded Best Group Project
- 👨💼 Led a team of 6 as Project Manager
- 🚀 Architected and implemented a scalable search engine from scratch
- ⚡ Achieved search response times under 1 second for 4 million records using multi-threading and sharding
- 💻 Technical Skills: Python, MongoDB, FastAPI, React.js, Multi-threading, Sharding
- 🏆 Awarded Best User Interface at University of Edinburgh Industry Fair
- 👨💼 Led a team of 8 to develop a physical medical dispenser device with a companion app
- 🤖 Implemented system using Raspberry Pi and Python
- 🎨 Designed a user interface recognized for excellence by professionals from Amazon and UserTesting
- 🛠️ Technical Skills: Raspberry Pi, Python, Flutter
- 🥇 Best Group Project Award, Text Technologies for Data Science (2024)
- 🥇 Best User Interface, University of Edinburgh SDP Industry Fair (2023)
- 🏆 Top 10 in International round, MIT Battlecode 2022 Tournament
- 🎖️ Finalist (Top 3%), Google Code-in (2018)
- 📧 Email: [email protected]
- 💼 LinkedIn: linkedin.com/in/henryzhang
- 🌐 Website: Your Portfolio or Personal Website
- 💻 GitHub: github.com/Henry8772
Feel free to explore my repositories to see my work and projects. I'm always open to collaboration and discussions about exciting opportunities in AI, NLP, and Machine Learning.
"The best way to predict the future is to invent it." – Alan Kay