Sungyeon Kim

Applied Scientist, Amazon

Sungyeon Kim is an Applied Scientist at Amazon Agentic AI with a research background in computer vision, multimodal learning, and retrieval systems, currently focused on multimodal understanding and evaluation frameworks for AI agents.

1 post

May 20, 2026

Multimodal evaluators: MLLM-as-a-judge for image-to-text tasks in Strands Evals

Announcing four new MLLM-as-a-Judge evaluators for image-to-text tasks in Strands Evals: Overall Quality, Correctness, Faithfulness, and Instruction Following — automated, image-grounded scoring with reasoning.

Sangmin WooHaibo DingSungyeon KimVinayak Arannil