Summary
Saumil Shah is a Senior Graphics Software Engineer based in San Diego with 11 years of software experience and a focus on GPU driver infrastructure for flagship Snapdragon Adreno chips. He blends deep-learning research from an MS in Computer Science—where he developed CNN/GAN methods for marine bioacoustics—with hands-on systems and tooling work that enables automated testing and faster driver development at Qualcomm. His background spans data science, ETL and production ML (burst detection, anomaly pipelines) and low-level graphics engineering, reflecting rare cross-domain fluency. Comfortable in Python, C, Java and shell, he also explores TensorFlow, SwiftUI and CoreML in personal projects, signaling a shift toward on-device ML and developer tooling. Saumil has worked across multiple geographies (Boulder, Toronto, San Diego) and consistently moves projects from prototype to production, including building APIs and visualization tooling that informed product UX decisions. Colleagues describe him as a pragmatic engineer who applies research-minded experimentation to shipping robust, testable systems.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.) Information and Communication Technology, Bachelor of Technology (B.Tech.) Information and Communication Technology at Ahmedabad University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at San Diego State University
Gujarati, English, Hindi, German