Summary
Ravi Jain is a software engineer with over a decade of experience and 2.5+ years focused on machine learning and embedded systems, currently contributing to Pixel software, touch, and haptics at Google. He blends hands-on ML research and mobile deployment—having reduced voice-assistant latency and shipped snore-detection models to mobile at Samsung Research—and has built ML pipelines from prototype to product. A lifelong learner and former Udacity tech coach, he has mentored large mentor cohorts, analyzed student data to improve curricula, and completed multiple deep learning and NLP nanodegrees. His background in electronics and communications (BTech) and early open-source HDL work (MyHDL/GSoC) give him a unique edge bridging hardware-aware ML and production software. Colocated in New Taipei, he’s particularly interested in neurotech, embedded ML, and bringing research into low-latency, resource-constrained devices.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (BTech), Electronics and Communications Engineering, Bachelor of Technology (BTech), Electronics and Communications Engineering at National Institute of Technology Surat
Deep Learning, Deep Learning at Udacity
Higher Secondary - CBSE, Science, 95.4, Higher Secondary - CBSE, Science, 95.4 at SGM Shiroiya School, Navsari