ML Research Intern
Published:
- Built ML recommendation system over LLM-encoded technical anomaly reports from past NASA missions
- Utilized combined knowledge graph (KG) and graph neural net (GNN) architecture and trained over 10,000 reports with link prediction (contrastive, random, MCNS negative edge sampling) and ensemble training
- Invited oral presentation at 2024 SPIE Defense and Commercial Sensing Conference