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
- 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
| Project | Description | Link |
|---|---|---|
| PISCES | Real-time solar-wind anomaly detection | |
| Reasoning With A Star: Agentic benchmark for NASA's Heliophysics | Benchmark and evaluation |
- 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




