Backend & Quantitative Developer
CS + Math @ UMich. I build reliable and low-latency trading and data systems, and I research LLM/NLP.
Featured Projects
Crypto Quantitative Trading System & Strategies
BackendQuant
Low-latency, high-throughput market data pipeline and trading system for crypto markets.
- Achieved 15+% annual returns with 2% max drawdown over 1 year.
- Processed 1k+ trades/minute with low latency.
- Handled $10M+ from 1k+ subscriptions
PythonPostgreSQLGCPPandasAsyncioDockerThreading
AlgoVoyage: Crypto Perpetual Futures Trading System & Strategies
QuantBackend
Event-driven crypto perpetual futures trading system with advanced backtesting and research capabilities.
- Achieved <500ms latency from signal generation to order execution
- Deployed on GCP using Docker and CI/CD with 99.5% uptime
- Implemented robust, portfolio-level risk management controls, maintaining max drawdown <2%
PythonPostgreSQLPandasPolarsGCPDockerAsynciovectorbt
Research on Building the Social Network of Hosts and Guests in Podcasts
AI
Podcast role identification data pipeline using prompt engineering and analysis of the Social Network of Hosts and Guests in Podcasts Ecosystem.
- Identify hosts and guests in 1M+ podcast episodes with 80% recall
- Reduced processing time by 144x using vLLM and batch processing
- Improved LLM recall by 20% and reduced processing time by 40% by advanced prompt engineering
PythonHugging FaceLLMsNLPvLLMsPrompt Engineering