Summary
Pranav Srinivas is an AI performance engineer with 12 years of experience optimizing deep learning and high-performance compute pipelines, now focused on GenAI performance and quality at Modular in San Francisco. He has a proven track record accelerating CNN inference and designing CUDA-accelerated convolution pipelines for simulation workloads, and helped scale a hybrid cloud data service into a customer-facing AI product at Synopsys. Equipped with an MS from Georgia Tech and a BS from UIUC, he blends systems-level profiling, secure data pipelines, and AI-driven optimization to deliver measurable throughput and efficiency gains. Notably, his career bridges startup agility and enterprise-grade engineering, making him adept at translating research-grade optimizations into production-ready systems.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Illinois Urbana-Champaign
Spanish, Hindi, English