Summary
Rohith Kvsp is a machine learning software engineer with 10 years of experience building and shipping on-device deep learning and computer vision solutions, currently focused at Microsoft. He previously drove CV and deep learning efforts at Sturfee, translating research models into practical, real-time applications for mobile and embedded platforms. Rohith holds a B.Tech in Electronics and Communications and a research-focused MS in Computer Science, giving him a strong blend of hardware-aware signal expertise and algorithmic depth. Known for pragmatic engineering, he specializes in optimizing models for constrained environments and productionizing ML pipelines. Based in the United States, he brings a research mindset to product-grade systems and a track record of turning complex vision problems into efficient, deployable solutions.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Technology, Electronics and Communications Engineering, Bachelor of Technology, Electronics and Communications Engineering at Acharya Nagarjuna University
Master's degree (Thesis), Computer Science, Master's degree (Thesis), Computer Science at Texas A&M University-Commerce