Summary
Apoorv Vyas is a researcher in machine learning and signal processing with a decade of experience spanning industry and academia, currently working at Meta after completing a PhD-level research stint at EPFL and Idiap. His background combines hands-on systems engineering at Intel and applied forecasting work at Oracle with deep expertise in computer vision, speech processing, and ML-driven applications such as commercial detection and music genre recognition. Trained at IIT Guwahati, he brings a strong foundations-in-electronics perspective to data-driven modeling and has a track record of independent, publication-grade research. Based in Redwood City, he blends academic rigor with product-aware experimentation and a curiosity for daily learning that fuels practical innovation. Outside work he’s musically inclined and an avid runner, traits that mirror his balance of creative and disciplined problem solving.
10 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Electrical and Electronics Engineering, 8.10/10, Bachelor's Degree, Electrical and Electronics Engineering, 8.10/10 at Indian Institute of Technology, Guwahati
Class 1 to 12, 12th Physics , Chemistry , Maths, Class 1 to 12, 12th Physics , Chemistry , Maths at Delhi Public School - Vijaipur
Phd, Phd at EPFL (École polytechnique fédérale de Lausanne)
English, Hindi