Experience

Production engineering across distributed databases, performance diagnostics, and quantitative data infrastructure.

Tencent

Distributed Database Engineering Intern ยท Qingyun Program

Distributed Database R&D Center

Contributed to a production analytical database, with work spanning distributed SQL execution, observability, and compute-node reliability.

  • Extended an MPP execution engine with two-stage aggregation and distributed-plan support for complex subqueries; resolved intermediate- state merging, data redistribution, and cross-node semantic-consistency issues.
  • Built a distributed query-profiling path that connects frontend, planner/optimizer, and worker metrics into query, operator, node, and thread views; added operator-boundary inspection for complex-plan debugging.
  • Identified lock contention caused by high-frequency instrumentation in a large analytical benchmark and moved collection to operator boundaries to keep diagnostic overhead under control.
  • Contributed to compute-node lifecycle and fault recovery across registration, heartbeats, versioned state convergence, distributed locking, query retry, and integration testing.
  • C++
  • SQL engine internals
  • MPP SQL
  • TPC-H / TPC-DS
  • Profiling

Hangzhou Higgs Investment Management Co., Ltd.

Full-Stack Strategy Engineer

Developed market-data infrastructure and internal analysis tools for quantitative research and live-trading operations.

  • Built high-frequency market-data storage and real-time subscription pipelines with C++/Python, SQLite, and TDengine, supporting concurrent access from multiple threads and processes.
  • Integrated brokerage market-data APIs and delivered trading-monitoring and live-parameter query tools for research and operational workflows.
  • Prototyped a local document and natural-language SQL assistant with LightRAG, Vanna AI, DeepSeek, and Streamlit for internal troubleshooting.
  • C++ / Python
  • SQLite
  • TDengine
  • Market data
  • RAG / Text-to-SQL