Summary
Andreea-maria Oncescu is a Senior Research Scientist based in Oxford with nine years of experience building multimodal AI systems, now focusing at Huawei on unifying audio (speech, sounds, music) with vision-language models using open-source architectures like Llama, ViT, and CLIP. She completed a DPhil at Oxford’s Visual Geometry Group where she advanced video and audio understanding, retrieval, and captioning, and has hands-on experience taking foundation models into production and end-to-end data pipelines. Her background includes industry collaborations and internships at Meta on self-supervised multimodal video understanding and text-to-audio retrieval, reflecting a strong blend of academic rigor and product-focused research. Known for bridging sensor- and web-integrated ML prototypes to large-scale multimodal LLMs, she brings both systems-level engineering (wearable prototypes, real-time monitoring) and cutting-edge model development to practical AI deployments.
9 years of coding experience
5 years of employment as a software developer
DPhil - Computer Vision and Natural Language Engineering Science, DPhil - Computer Vision and Natural Language Engineering Science at University of Oxford
International Computer High School of Bucharest
English, French, Romanian