Backend Engineer & Quant Developer
CS + Math @ UMich. I build reliable trading and data systems, and I research LLM/NLP for role-aware speaker analysis.
Featured Projects
Real-time Market Data Pipeline
BackendQuant
Ingested, normalized, and served equities/FX ticks with sub-100ms latency across services.
- 99.95% uptime across 90 days
- P50 < 45ms, P99 < 180ms end-to-end
- Storage cost reduced 22% via columnar partitioning
PythonKafkaGCPBigQuery
Quant Strategy Research Platform
QuantAI
Backtesting and feature pipeline with reproducible runs and fast parameter sweeps.
- 10x faster sweep time via parallel runs
- Deterministic runs with artifact versioning
- Built-in slippage/fee models
PythonNumPyPandasRay
Role-Aware Speaker Analysis with LLMs
AI
Explored role-conditioned dialogue modeling for more accurate speaker intent classification.
- +4.2 F1 on benchmark conversations
- Inference cost reduced 18% via distillation
- Robust to speaker swaps
PythonPyTorchHF Transformers