I am an AI researcher and Machine Learning Engineer with more than a decade of experience translating cutting-edge research into scalable, high-impact products. My work spans agentic AI, multimodal models, large-scale embedding and retrieval systems, and production ML infrastructure, with end-to-end ownership from research and prototyping through evaluation, deployment, and production operations.

At Meta, I currently build production agentic capabilities for business users, including secure multi-tenant runtimes, sandboxed tool execution, agent reliability and safety controls, and evaluation systems for continuous quality improvement. Previously at Reality Labs, I developed multimodal AI systems for wearable devices using vision-language models, agentic workflows, safety guardrails, and efficient inference.

Before Meta, I led the computer vision team at eBay and rebuilt its visual search platform end to end, covering large-scale data collection and annotation, benchmark development, distributed training and inference, backfill processing, and real-time indexing. The resulting systems powered visual search, recommendation, and intelligent listing experiences at scale, improving product discovery and contributing meaningful business impact.

Throughout my career, I have led projects in image, video, and text understanding, foundation models, object recognition, segmentation, generative modeling, vector search, and AI-driven products. I am particularly motivated by problems that require both first-principles research and rigorous production engineering.

Outside of work, I enjoy painting as a creative outlet and playing soccer, which reinforces the teamwork, adaptability, and collaborative leadership I bring to cross-functional engineering teams.