📧 2478015300@qq.com | 📍 23 years old

Xi’an Jiaotong University
Master of Software Engineering, School of Software
Sep 2024 - Jun 2027
Shaanxi, China

Beijing University of Chemical Technology
Bachelor of Computer Science and Technology, School of Information Science and Technology
Sep 2020 - Jun 2024
Beijing, China

• ​Programming Languages: C/C++, Java, Python. Proficient in modern C++, including smart pointers, template metaprogramming, Lambda expressions, move semantics, and concurrent programming. Skilled in using STL containers and algorithms, and writing robust code following RAII principles.
• ​Algorithms and Data Structures: Familiar with basic data structures and common algorithms, such as sorting, dynamic programming, and graph-related algorithms.
• ​Database: Familiar with MySQL fundamentals, including indexes, locks, transactions, and optimization.
• ​Operating Systems: Knowledgeable in process management, memory management, file management, and device management.
• ​Tools: Experienced in Linux operations and using tools like Git, Make, GDB, and Vim for development.
• ​Other: Skilled in writing Markdown documents and actively sharing knowledge on the SCDN community (total views: 32k).

• Implemented a lightweight deep learning framework, needle, supporting automatic differentiation, neural network modules, and optimizers.
• Developed core modules, including automatic differentiation, linear layers, ReLU, Dropout, BatchNorm, and LayerNorm, as well as SGD and Adam optimizers.
• Designed an MLP-based ResNet model, trained and evaluated its performance on the MNIST dataset, and optimized the training process using Kaiming and Xavier initialization methods.

• Built bustub, a relational database management system implemented in C++, supporting basic SQL, memory management, indexing, optimizers, executors, and snapshot isolation-level concurrency control.
• ​Buffer Pool: Managed disk data pages in memory using the LRU-K page replacement algorithm, reducing disk access and enabling efficient data read/write through background threads and message queues.
• ​Indexing: Implemented a scalable hash table-based hash index, supporting concurrent lookups and insertions for efficient and scalable indexing.
• ​Query Engine: Designed a volcano-model query engine with common operators like SeqScan, IndexScan, JOIN, and GROUP BY, and improved query performance through rule-based optimizers (e.g., converting nested loop joins to hash joins and implementing Top-N optimizations).
• ​Concurrency Control: Implemented an MVCC-based concurrency controller supporting snapshot isolation, using timestamps for transaction and tuple concurrency control.

• ​Awards:
  • ACM-ICPC Asia Invitational (Xi’an) Gold Medal (2023)
  • ACM-ICPC Asia Regional (Hangzhou) Silver Medal (2023)
  • ACM-ICPC Asia Regional (Nanjing) Silver Medal (2023)
  • ACM-ICPC Asia Final (Shanghai) Bronze Medal (2023)
  • ACM-ICPC Asia Regional (Hefei) Silver Medal (2022)
• ​English Proficiency: fluent in technical paper reading.

• Strong coding ability.
• Strong problem-solving and collaborative skills.
• Passionate about exploring cutting-edge AI technologies.