About me
With a strong background in mathematics and computer science, I have built expertise in programming, machine learning, and full-stack development. Proficient in Python, Java, and SQL, I am skilled in frameworks such as TensorFlow, PyTorch, and Spark. I have worked with backend development, algorithm design, and application of LLM. My focus includes natural language processing, Large Language Model, and Recommendation algorithm, preparing me to contribute as a machine learning engineer.
I contributed to projects like the Iris Recognition Processing Platform and an intelligent baby care system, gaining valuable experience in algorithms and product development. Leading teams in deep learning and data analysis projects, I developed a passion for machine learning. I gained industry experience as an intern at ByteDance, working on large language models and intelligent systems, and research experience at Carnegie Mellon University in data science and machine learning. I was awarded the Silver Medal (Top 0.2%) in the China International College Students “Internet+” Innovation and Entrepreneurship Competition, and published research on recommendation systems in CONF-SEML 2024.
What i'm doing
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Machine Learning
I am enjoy the process of use a advanced model to train any data which is interesting.
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Algorithm Design
I am enjoy to dealing with complexity problem by designing a algorithm with high-effiency.
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Mathematics and Physics
A complex mathematics or physics problem could make me exciting to figure it out.
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Software Development
I often build high-quality systems that ship with various algorithms.
Core Skills
