location: Madison, WI
education:
[
University of Wisconsin-Madison
2023 - 2026
B.S in Computer Science & Economics
Minors: Business, Entrepreneurship
GPA: 3.76 / 4.00
]
currently_building: Provenance AI - Financial Intelligence Platform
research:
- Kaufman Labs — Agent-based simulations under Prof. Alfonso Morales
- ICICLE AI Institute — Geospatial ML pipelines & scalable APIsProvenance AI — Institutional-grade financial intelligence for retail investors.
| Product | What It Does | Stack |
|---|---|---|
| QuantForge | Backtesting engine with SMA, RSI, MACD strategies | FastAPI, PostgreSQL, Next.js, AWS |
| PortfolioIQ | AI anomaly detection across fragmented portfolios | Palantir Foundry, RAG, LLM Orchestration |
| NextWorth AI | Monte Carlo wealth simulation (5-10yr projections) | Python, Probabilistic Forecasting |
The AI agent reads your actual holdings across equities, crypto, and prediction markets — detects concentration overlap, correlated positions, and hidden risks — then returns actionable decisions, not generic advice.
| Role | Where | Highlights |
|---|---|---|
| Software Engineer Intern | ICICLE AI Institute | Reduced P95 latency 28% (250ms→180ms), built geospatial ETL processing 360K+ records, 87% test coverage |
| Software Dev Research Assistant | Kaufman Labs, UW-Madison | 5.2x simulation speedup modeling 500K+ entities, built React visualization dashboard |
- 🧠 Built GPT, ViT, and CLIP from scratch in PyTorch (CS639 Deep Learning)
- 🔍 Built IntelliSearch — RAG document Q&A with LangChain, FAISS, sentence-transformers
- ⚡ Designed Kafka streaming pipelines and Spark/Hive ML workflows
- 🗄️ Implemented a buffer manager with clock algorithm in C++ (CS564 Databases)
- ☁️ AWS Certified AI Practitioner
- 📊 Member, Capital Management Club — delivered equity research pitches