Applied AI systems
LLM applications, RAG systems, agentic workflows, NLP, and decision-support tools designed around real business processes.
Applied AI 路 Data Science 路 Product Engineering
I am a data scientist and founder-builder with experience developing machine-learning systems, LLM applications, production data pipelines, internal tools, geospatial platforms, and automated business workflows.
My work combines analytical depth, software execution, and operational problem-solving.

What I build
LLM applications, RAG systems, agentic workflows, NLP, and decision-support tools designed around real business processes.
Production pipelines, forecasting systems, classification models, analytical tools, model monitoring, and operational dashboards.
Full-stack platforms connecting interfaces, APIs, databases, authentication, business rules, and external services.
Automated workflows spanning geographic data, order processing, rendering, customer delivery, and physical fulfillment.
Featured case studies
Data Science 路 Network Analysis
Agentic AI 路 Data Products
Geospatial Product 路 Automation
Professional experience
Data Scientist
Builds reliable data products and modeling workflows that make large, messy product datasets useful across the business.
July 2024鈥揚resentData Scientist I
Delivered decision tools and AI workflows for shrink, food safety, operating procedures, and customer feedback.
March 2023鈥揓une 2024Data Scientist & Leadership Development Program Associate
Served as the primary data scientist in corporate analytics, translating operational needs into production Python and SQL tools.
August 2022鈥揗arch 2023Founder & Software Engineer
Built a customizable geospatial-art storefront and the automation that took an order to print-ready artwork without manual production work.
November 2020鈥揗arch 2023How I work
Identify the decision, user, constraints, available data, and measurable business outcome.
Define the data model, workflow, interface, model behavior, integrations, and human checkpoints.
Develop the application, pipeline, model, or automation and test it against real operational conditions.
Add monitoring, exception handling, documentation, feedback loops, and a path to adoption.
Let's talk
I am most useful when a problem requires both analytical depth and the ability to build the system around the model.