01/PROFILE
Curious by training, engineer by obsession.
AI researcher passionate about solving real-world problems with state-of-the-art advances in science and technology. Currently addressing challenges for the world's largest retail company on the Physical AI team — building practical solutions with vision-based large language models, multimodal deep learning architectures, and human-aligned evaluation techniques for agents.
Expertise spans computer vision, generative AI, and applied artificial intelligence, with an emphasis on delivering scalable, business-impacting outcomes.
My enthusiasm lies in long nights of coding for fun, solving mathematical challenges in a gamified way, and motivating people to adopt new technologies. Interests range from machine intelligence via computer vision and generative AI, to the philosophical and moral quandaries of human and artificial intelligence, to the light and dark sides of history. I enjoy a nicely brewed coffee, RTS games, traveling to new places — and I am an avid fan of One Piece.
Whether it's a groundbreaking scientific topic, a casual talk on world history, or a chat about any moonshot idea — let's connect.
02/WHAT I DO
Computer Vision at the Edge
Device-efficient deep learning — detection, segmentation and tracking tuned for constrained IoT hardware in the physical world.
Generative & Agentic AI
Vision-based LLMs, RAG pipelines, vector embeddings and human-aligned evaluation techniques for production agent systems.
End-to-End System Design
From device-level inference to server-side dashboards — full intelligence systems with CI/CD discipline.
Scientific Research
Peer-reviewed research across remote sensing, climate modeling and epidemiology — 29 publications, 1000+ citations.