Summary
Naveen Rajashekharappa is a Senior Machine Learning Engineer with 10 years of experience building end-to-end deep learning systems, from database and feature pipelines to model architecture, optimization, and product integration. Based in Hayward, CA, he specializes in real-time audio signal processing and computer vision, with a strong track record of deploying optimized models on mobile and embedded platforms. At Splice and previously Red Pill VR he delivered real-time audio source separation and low-latency feature pipelines, even integrating ML into Unreal Engine plugins for VR. He pairs algorithmic depth in Keras/TensorFlow and classical ML with low-level engineering skills in C/C++ and ARM NEON optimizations, having shipped codec and image-processing work for Android/iOS. Naveen’s background includes rigorous academic training (USC MS in Electrical Engineering) and hands-on systems engineering at scale, making him equally comfortable prototyping models and squeezing performance from constrained devices. An under-the-radar strength is his history of automating cross-platform assembly and test workflows, which consistently accelerates productionization.
10 years of coding experience
7 years of employment as a software developer
BE, Electronics and Communication, 9.3, BE, Electronics and Communication, 9.3 at R. V. College of Engineering, Bangalore
Master’s Degree, Electrical Engineering, 4.0, Master’s Degree, Electrical Engineering, 4.0 at University of Southern California
Distinction, SSLC, Distinction, SSLC at Vidyavikasa English Medium High School
SBCJ Science College
English, Hindi, Kannada