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🔭 I’m currently working as a Software Engineer Intern @ Zilliz
- Integrated Milvus Vector Database with open-source tools to enhance RAG workflows.
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🔭 Previously, I was a Machine Learning Engineer Intern @ Pinduoduo
- Enhanced mContriever models for AI-powered shopping assistants, achieving a +27% recall and +21% F1 score.
- Developed embedding pipelines and optimized RAG generation, reducing latency by 7.6%.
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🔭 Earlier Experiences:
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Software Engineer Intern @ Capybara.AI
- Built a concurrent system for real-time news collection, analysis, and sentiment scoring.
- Designed industry-specific clustering algorithms and engineered tools for financial analysis, integrating sentiment analysis into sector-wide predictions.
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Multimodal Machine Learning Engineer Intern @ Vipshop
- Fine-tuned VisualGLM’s Q-Former with advanced attention masking techniques, reducing attribute mismatches by 6.79%.
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Full-Stack Developer @ Ecowise (Hackathon Project)
- Developed an energy-saving chatbot using GPT-3.5 to provide personalized tips and quizzes.
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🌱 I’m currently learning Machine Learning (Stanford CS229)
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📫 How to reach me: [email protected]
