I'm a Staff Data Scientist & Data App Developer focused on transforming machine learning insights into interactive, intelligent systems.
I build production-ready data apps, agentic AI systems, and end-to-end ML pipelines that bring analytics directly to decision-makers.
- 5+ years building enterprise-scale ML and analytics systems at Lockheed Martin
- Deep background in Bayesian modeling, causal inference, and time series forecasting
- Building data-driven applications with Streamlit, FastAPI, and React
- Architecting agentic AI systems that integrate retrieval, reasoning, and orchestration layers
- Passionate about bridging data science, software engineering, and UX
| Domain | Skills & Tools |
|---|---|
| Data App Development | Streamlit • FastAPI • React • REST APIs • Auth • State Management |
| Agentic Systems | LangChain • LlamaIndex • Function Calling • Multi-Agent Orchestration |
| Modeling & Inference | Causal Inference • Bayesian Methods • Time Series • A/B Testing |
| Data Engineering | Python • SQL • Spark • Airflow • dbt • First-Party Data Pipelines |
| MLOps & Deployment | Docker • Kubernetes • CI/CD • Model Monitoring • Experiment Tracking |
- Building LLM-powered data applications that integrate data sources to solve real problems, and automate work.
- Integrating Streamlit + FastAPI backends for dynamic model serving
- Designing scalable architectures for agentic AI systems
- Making complex data insights actionable through UX
“Data science should be interactive — intelligence isn’t valuable until it’s usable.”