MSCS @ NYU Courant | Data Infrastructure | Distributed Systems | Backend Engineering
- 🎓 M.S. in Computer Science @ NYU Courant (GPA: 3.89/4.0), graduating Dec 2026
- 🚀 Google Summer of Code Contributor @ Apache Software Foundation (Apache Wayang)
- 💻 Former Software Engineer Intern @ NetEase
- 👩🏫 Course Assistant for Big Data Application Development and Fundamental Algorithms @ NYU
- 🔍 Interested in data-intensive systems, distributed computing, backend infrastructure, and performance optimization
- Extended Apache Wayang with SQL execution support for Trino, Presto, BigQuery, and DuckDB
- Built platform plugins, operator mappings, and execution operators for core relational operations
- Developed 35+ live-engine integration tests across SQL pushdown, joins, aggregation, sorting, sinks, and Parquet reads
- Built cost-profiling and calibration workflows for optimizer-driven platform selection
- Built backend infrastructure for a robotics simulation platform
- Developed a unified HTTP API client layer replacing direct MySQL access across 30+ services
- Built a YAML-driven API testing framework, reducing per-case authoring effort by ~95%
- Improved FastAPI / SQLAlchemy session handling for long-running background tasks
- Designed high-concurrency CUDA/C++ kernels for a fixed-size open-addressing hash table
- Supported workloads with 100M+ keys
- Improved insert/delete latency by 42%
- Achieved up to 10× higher throughput with adaptive search strategies
- Built a large-scale Spark/HDFS pipeline over 60M+ records
- Developed feature engineering and forecasting workflows for urban demand prediction
Languages: Java · Python · C · C++ · SQL
Data & Distributed Systems: Spark · Kafka · HDFS · Apache Wayang
Backend & Infrastructure: FastAPI · Flask · Docker · Kubernetes · REST APIs
Databases: MySQL · PostgreSQL · BigQuery · Snowflake
Systems: CUDA · Linux · CI/CD · Git
I’m particularly interested in building scalable data platforms, distributed systems, backend infrastructure, and high-performance software.