Summary
Ilya Fedorov is a Senior Research Scientist at NVIDIA with nine years of experience in deep learning, specializing in audio-driven 3D facial reconstruction and emotion modeling. He progressed from internship to senior research roles at NVIDIA, creating Audio2Emotion and contributing to Audio2Face and RLHF projects that bridge audio processing with realistic 3D avatar synthesis. Trained in applied mathematics and computer science at Moscow State University, he combines strong research foundations with practical engineering—having implemented production-ready pipelines for audio-to-visual translation. Earlier work in web scraping, OCR, and instance segmentation shows a versatile toolkit spanning Python, OpenCV, Detectron2, and SentenceBERT. Notably, his career reflects a rapid trajectory of impact within a single industry-leading lab, signaling both deep technical focus and an ability to ship novel multimodal systems.
9 years of coding experience
3 years of employment as a software developer
Master, Applied mathematics and computer science, Master, Applied mathematics and computer science at Moscow State University