Shreyas Seshadri
Machine Learning Research Engineer at Apple
Cupertino, California, United States
Summary
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Senior🎓
Top SchoolShreyas Seshadri is a Machine Learning Research Engineer at Apple with a decade of experience applying ML to speech and acoustics, currently focused on Siri text-to-speech and speaking-style conversion. Pursuing a PhD at Aalto University, his research centers on zero-resource methods that discover recurring patterns in unannotated speech—work motivated by modelling early human language acquisition and enabling support for low-resource languages. He has bridged industry and academia through a PhD internship and multiple roles at Apple and Aalto, combining state-of-the-art vocoding with robust ML mapping techniques. A dual Erasmus Mundus master’s graduate from UCL and UPC and a high-achieving engineering alumnus, he brings a strong signal-processing foundation to practical production systems in Cupertino.
10 years of coding experience
7 years of employment as a software developer
CBSE, 90, CBSE, 90 at SBOA School and Junior CollegeMaster Ingenieur Civil Electricien, Information and Communication Technologies, 8.9/10, Master Ingenieur Civil Electricien, Information and Communication Technologies, 8.9/10 at Université catholique de LouvainDoctor of Philosophy - PhD, Machine learning and Speech Processing, 4.4/5, Doctor of Philosophy - PhD, Machine learning and Speech Processing, 4.4/5 at Aalto UniversityBachelor of Technology, Electronics and Communications Engineering, CGPA : 9.69 /10, Bachelor of Technology, Electronics and Communications Engineering, CGPA : 9.69 /10 at SRM UniversityCBSE, 90, CBSE, 90 at Maharishi Vidya MandirUPC Universitat Politècnica de Catalunya
English, French, Hindi, TamilGithub contributions (5)
shreyas253/SylNet
Jan 2019 - Nov 2020
Contributions:12 commits, 14 pushes, 1 branch in 1 year 10 months
shreyas253/variational_NP_BMM
Sep 2016 - Aug 2017
Contributions:42 commits, 40 pushes, 1 branch in 11 months
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