ThinkRF
Cloud & ML Engineering Consultant
2026 to Present
Architecting the machine learning platform behind a global radio frequency spectrum monitoring network.
- Architected a multi-model ML platform that processes 50M+ real-time RF observations from 50+ sensors worldwide, combining Isolation Forest and LSTM models for spectrum anomaly detection and classification.
- Engineered a high-throughput AWS data pipeline ingesting 10M+ records daily, with automated CGI enrichment mapping cellular identities across 5 countries in real time.
- Built an AI spectrum intelligence engine on Claude with structured prompt chaining that turns raw RF telemetry into root-cause reports, replacing 3+ hours of manual analysis every day.
- Python
- AWS
- LSTM
- Isolation Forest
- Claude API






