Experience.
I went to MIT, grew up on the Rosebud Reservation, and have spent the last eight years turning data into tools that actually help people — from building agentic and geospatial AI systems at Ode Partners to teaching AI to Lakota youth.
What I work on.
AI systems
Agents, retrieval and RAG, LLM applications, local and open models.
Geospatial AI
Earth observation, geospatial foundation models, spatial data systems, mapping and visualization.
Language & community AI
Low-resource language technology, Indigenous data sovereignty, community-governed AI.
Applied engineering
Turning ambiguous problems into working prototypes and production systems: APIs, data pipelines, cloud infrastructure, interactive tools.
Education.
MIT Sloan School of Management
Master of Business Analytics
Operations Research Center
- Dean's Fellowship Recipient: awarded for outstanding academic records, personal achievements, and professional promise.
- Coursework: Machine Learning, Optimization Methods, Statistics, Interactive Data Visualization.
Massachusetts Institute of Technology
Bachelor of Business Analytics
- Coursework: Artificial Intelligence, Software Construction, Laboratory in Investments, Stochastic Models, Discrete Mathematics, Communicating with Data, Computation Structures.
- MIT Chapter of Sigma Nu (Governance Chair, Vice President, Community Service Chairman): improved chapter performance in 9/10 areas; tripled total community service hours.
- MIT American Indian Science and Engineering Society (Vice President): outreach to American Indian freshmen and high-school students; coordinated with campus organizations for the Native American community.
Work.
Ode Partners
AI Engineer
Remote (Rapid City, SD)
- Design and build AI systems that combine agents, retrieval (RAG), geospatial data, and interactive applications for environmental and public-interest work.
- Lead technical architecture from messy problem definition through prototype and production handoff, working directly with the people who own the problem.
- Run local and open-model infrastructure and geospatial foundation models where hosted APIs don't fit the data, the budget, or the sovereignty requirements.
IndigiGenius
Vice President
Remote (Rapid City, SD)
- Building and delivering the "Introduction to Python and Data Science" curriculum for the Lakota AI Code Camp.
- Organizing and MCing the Indigenous in AI Workshops for NeurIPS.
- Thought leadership focused on increasing Indigenous participation and perspectives in AI/ML (most recently at TEDx Boston: Countdown to AGI).
The Earth Genome
Data Science, Product
Remote (Rapid City, SD)
- Delivering value through linear optimization, data processing, and advanced cartographic techniques.
- Designing community-driven solutions by demonstrating the art-of-the-possible and implementing alongside the engineering team.
MFS Investment Management
Senior Data Science Analyst
Boston, MA
- Worked with cross-functional stakeholders and senior leaders to gather and synthesize data while performing analysis and delivering recommendations.
- Built models to describe the past and suggest optimal actions for salespeople.
- Furthered the data-driven culture of MFS by demonstrating proofs of concept for new analytics ideas.
MIT Sloan / MBTA
Data Science Intern
Boston, MA
- Optimized garage placement to minimize dead-head for drivers — an estimated 3–5% improvement and $3M–$5M in yearly savings.
- Predicted trip cancellations to better understand realized daily trip demand.
- Combined linear programming, optimization, and machine learning for near-instant rerouting of The RIDE system.
MIT Crypto-Economics Lab
Research Assistant
Cambridge, MA
- Applied natural language processing (topic modeling, sentiment analysis) to massive amounts of text data.
- Wrote scraping software (Python) to improve and expand the data pipeline.
Intel Corporation, Intel Federal
Systems Architecture Team — Graduate Technical Intern
Hudson, MA
- Created a simulation for High Performance Linpack on cutting-edge systems to inform design decisions for new architectures.
- Performed workload analysis on biologically inspired computing paradigms and presented recommendations to the senior architect.