Summary
Ajin Tom is a Principal Scientist in Audio R&D with a decade of experience designing and shipping real-time DSP and ML algorithms for hearables and spatial audio systems. He combines an interdisciplinary background in electronics, computer engineering and music technology to translate theoretical research—acoustic modelling, beamforming, echo cancellation and bio-signal monitoring—into low-latency embedded products used worldwide. At EERS Global he leads end-to-end system design, from transducer placement and electroacoustic tuning to prototyping and field validation, and has a track record of patents and publications. His earlier academic work on automatic mixing and directivity modelling informs novel approaches to intelligibility and immersive sound in VR and consumer devices. Known for rapid problem framing and cross-functional communication, he regularly bridges business needs and engineering trade-offs to deliver practical, testable solutions. Beyond product work, he has built measurement pipelines and custom tools (C++/Python/Matlab) that surface perceptual insights often missed in standard evaluations.
10 years of coding experience
1 year of employment as a software developer
Master's degree, Music Technology, Master's degree, Music Technology at Schulich School of Music of McGill University
Bachelor's Degree, Electronics and Communication Engineering, Bachelor's Degree, Electronics and Communication Engineering at National Institute of Technology Karnataka
English, Malayalam, French, Arabic, Hindi