- 🏥 Healthcare → Tech: 10+ yrs clinical experience in high-pressure environments (ED, alongside physicians)
- 🎓 Education: MPH Epidemiology + MBA Finance & International Business
- 💻 Building: Trading systems, ML models, AI applications & health data tools in Python & R
- 🎮 Off-hours: League of Legends — memorized 150+ champions, their abilities, roles & counterplay
 Population health analytics, NHANES/BRFSS data pipelines, causal inference for health outcomes |
 Local LLM apps with real-time voice AI, speech synthesis, generative art pipelines |
 Real-time data pipelines, statistical signal processing, automated decision engines |
 Chrome extensions, interactive portfolios, full-stack small business solutions |
Systems I've built for quantitative trading and market analysis
| Project | Description | Tech |
|---|---|---|
| Trading Companion | Automated options signal system with real-time market scanning & mobile alerts | Python SciPy pandas pytest |
| Trading Intelligence | Multi-source market intelligence aggregator with scoring engine | Python requests pandas |
| Options Trading Bot | ML-powered options trading bot with live monitoring dashboard | R tidymodels Shiny quantmod |
Features:
Tech Stack: |
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Features:
Tech Stack: |
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Languages
ML / Data Science
Trading / Finance
Web / Frontend
DevOps / Tools
AI Tools
Data Visualization
class Developer:
def __init__(self):
self.background = ["Healthcare", "Finance", "Public Health"]
self.approach = "Problem-Driven Development"
self.goal = "Build solutions that matter"
def work_smarter_not_harder(self):
"""
From clinical triage to market signals—
I build systems that turn data into decisions.
Healthcare taught me to think under pressure,
finance taught me to quantify risk.
"""
while self.learning:
self.identify_real_problems()
self.ship_real_projects()
self.iterate_and_improve()
return "Real solutions, shipped ✨"
