M.S. Artificial Intelligence student at the University of Texas at Austin, building production-grade ML systems.
Live site: mitchelcarson.com
My work sits at the intersection of applied ML research and production engineering. My senior thesis achieved up to 48% streamflow error reduction in national water forecasts using hybrid deep-learning architectures (HYDRA). I hold an active TS/SCI clearance and previously served as an Executive Missions Aviator in the United States Air Force.
I'm open to full-time roles and summer 2026 internships in AI/ML engineering, production systems, and applied research.
- Time-series forecasting & hybrid deep-learning (Transformer + RNN)
- Applied ML for environmental and operational systems
- Production ML pipelines, reproducible evaluation, and API-ready systems
- Risk-aware modeling and leakage-safe temporal validation
- Email: mitchel.carson@gmail.com
- LinkedIn: linkedin.com/in/mitchelcarson
- GitHub: github.com/Mitchel34
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