– Designed and implemented real-time SQL monitoring, collecting SQL execution statistics (e.g., time,

memory, parallelism, execution plans) to help SQL performance tuning.

– Integrated SQL monitoring into multiple subsystems, including VectorDB and cross-sharding databases.

– Created a user-friendly script to generate SQL monitoring active report, improving usability.

tamps, and actions, effectively reducing on-call triage time from 5 minutes to 1 minute per order.

– Implemented useful features such as one-click access to related program files on the webpage, improving

debugging and support efficiency

– Courses: Basic Algorithms, Algorithmic Problem Solving

– Led weekly recitations, held office hours, and helped design/grade assignments.

– Developed a multi-SQL-language compiler to parse and identify SQL injection patterns, boosting de-

tection accuracy from 70% to 90%.

– Analyzed 1M+ real-world SQL injection samples to refine feature extraction and detection heuristics.

– Reproduced the DRL architecture of AlphaGoZero and adapted it to Connect6.

– Integrated domain-specific knowledge into neural networks, improving performance.

– Built a custom environment that accelerated training by 4×