Case Studies
Proven results across
Real-world projects delivering measurable impact in space technology, AI systems, and software engineering.
LEO Satellite Signal Intelligence Platform
Developed an AI-powered platform for real-time LEO satellite identification using RF signal analysis. The system converts raw IQ data into image representations, applies super-resolution upscaling, and uses deep learning classifiers to identify satellites with over 90% accuracy. Deployed on NVIDIA Jetson edge hardware for field operations.
Key Results
- —90%+ satellite identification accuracy
- —4x signal resolution via super-resolution AI
- —Real-time edge deployment on NVIDIA Jetson
- —Processing 50+ signals per second
AI-Driven Satellite Constellation Scheduler
Built an intelligent scheduling system for LEO satellite constellation operations using Set Transformer architecture. The system optimizes communication scheduling decisions across 12-18 satellite networks, achieving near-optimal performance with sub-millisecond inference times — enabling real-time orbital decision-making.
Key Results
- —93-96% of optimal scheduling performance
- —Sub-millisecond inference latency
- —Scalable to 18+ satellite constellations
- —Reduced scheduling computation by 100x
Computer Vision Pipeline for Industrial Analytics
Designed and deployed a production computer vision system for automated visual inspection and analytics. The pipeline combines high-resolution image capture with custom defect detection models and real-time classification, dramatically improving throughput and accuracy over manual processes.
Key Results
- —4x throughput improvement over manual inspection
- —99%+ defect detection accuracy
- —Sub-0.3% false positive rate
- —75% reduction in required operators
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