I build LLM-agent systems that operate and automate next-generation telecom networks. My work sits at the intersection of multi-agent LLMs, O-RAN, and cloud-native infrastructure β turning network operations that traditionally need expert engineers into autonomous, verifiable AI workflows.
Thesis direction: Can LLM agents reason over real network state and act reliably enough to run a 6G RAN?
Current interests
- π€ LLM multi-agent systems for network operation & automation (TelcoAgent)
- π‘ O-RAN / 6G β RAN intelligence, traffic offloading, energy-efficient networks
- π Time-series forecasting for traffic & resource prediction
- π§ͺ Developing TelcoAgent β an LLM-agent framework for autonomous telecom network management
- π PhD researcher @ North Carolina State University (NCSU) β incoming Fall 2026
- βοΈ Writing paper reviews & research notes on my blog
- π€ Open to collaboration on Generative AI for O-RAN and LLM-driven network autonomy
| Year | Venue | Title |
|---|---|---|
| 2026 | IEEE GLOBECOM (submitted) | TelcoAgent: A Scalable 5G Multi-KPM Forecasting With 3GPP-Grounded Explainability |
| 2026 | Journal (in progress) | Follow-up work on agent-based RAN automation |
π Full list & preprints β Google Scholar


