I build agentic AI and solve complex time-series and signal processing problems for NASA and Lockheed Martin space and Earth science missions.
Focus: Agentic Orchestration, Quantitative Research, Variational Autoencoder, Scientific Reasoning, Anomaly Detection, State Estimation
Tooling: Python / MATLAB / C++ / R
Note: Many of my repositories are private due to research, collaboration, or organizational constraints. Recruiters and potential collaborators are welcome to contact me if they would like to learn more about my experience, project scope, or technical contributions.
- Agentic Orchestration System for Heliophysics Tasks
- Reasoning With a Star: Heliophysics Dataset and Agentic Benchmark
- Agentic AI for Near-Real-Time Ocean Hazard Assessment
- Physics-Informed Convolutional Autoencoder for Solar-Wind and Space-Weather
- Satellite Telemetry and Time-series Anomaly Detection
- Quant trading and research
- Signal processing with AI/ML and traditional statistical learning algorithms
- Agentic systems and platforms
- Open to: research collabs and industry roles in AI/ML




