I'm Shao-Yu(Sandy) Huang, an AI Engineer and Data Engineer based in California.
I build multimodal AI systems that bridge computer vision, large language models, and data engineering to solve real-world problems. My work focuses on making AI more explainable, scalable, and useful through semantic reasoning and intelligent retrieval.
This is a place where I'll be sharing projects, experiments, research, and things I'm currently building.
- Machine Learning and AI: PyTorch, Machine Learning, Deep Learning, Vision Learning Model, Large Language Model, Multimodal Learning
- Data Engineering and Database: ETL/ELT, Airflow, dbt, Kafka, Spark, Data Warehousing, REST APIs, MySQL, Snowflake, MongoDB
- Visualization and BI: Tableau, Power BI, Streamlit
- Tools and Platforms: Git, Docker, Linux, OpenCV, imageio
- ✨ I enjoy turning cutting-edge AI research into practical AI products.
- 🧠 Passionate about Multimodal AI, LLMs, AI Agents, and Data Engineering.
- 🚀 Currently building an AI-native fashion recommendation platform powered by multimodal AI agents.
- 🎓 M.S. in Applied Data Intelligence @ San José State University.
- 💼 Currently seeking full-time opportunities in AI Engineering, Machine Learning Engineering, or Data Engineering.
Fun Facts:
- I have a white cat
- I don't like matcha
- Hobbies: dancing, listening to K-pop