Recommendation Systems / Temporal Graph Learning / ML Systems
Treverse Recsys
Personalized recommendations, from temporal graph learning to real-time serving and controlled experiments.
Research × systems
Research and engineering across recommendation systems, ML infrastructure, multimodal learning, graph intelligence, computer vision, and language.
06 entries6 projects
Recommendation Systems / Temporal Graph Learning / ML Systems
Personalized recommendations, from temporal graph learning to real-time serving and controlled experiments.
ML Infrastructure / Platform Engineering / AWS
A shared ML platform connecting training, deployment, and observability across cloud and edge workloads.
Multimodal AI / Vision-Language Models / Deep Learning
Rethinking how vision and language meet, with no alignment pre-training and 45% fewer training samples.
Graph Neural Network / Natural Language Processing / Foundation Models
A fusion architecture that injects graph representations into a language model with PEFT to generate text associated with social-network edges.
Natural Language Processing
Turning negotiation transcripts into research data, reducing annotation cost from $5,000 to $3 per transcript.
Computer Vision
Computer vision meets archaeology: classifying ancient mortar particles with 97% accuracy.
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