Trishul Nagenalli is a Staff Software Engineer based in New York with nine years of experience building scalable, cloud-native systems and production ML tooling. A Duke graduate with dual BS/BSE degrees in Computer Science and Electrical & Computer Engineering, he has progressed through multiple engineering levels at Abnormal AI and helped design resilient services at Clumio built to handle surge loads of a million simultaneous requests. His background spans full-stack engineering, data-driven signal processing, and applied research—ranging from satellite imagery ML for electrification assessment to computer-vision spoof detection and real-time IoT deployments. Known for designing systems from scratch in collaboration with cross-functional teams, he blends rigorous academic training with pragmatic production experience in AWS/Azure environments. He’s equally comfortable automating large-scale data workflows and diving into low-level experimental tooling, and he welcomes conversations by email to explore new ideas.
9 years of coding experience
1 year of employment as a software developer
Poolesville HS
BS, BSE, Computer Science, Electrical & Computer Engineering, BS, BSE, Computer Science, Electrical & Computer Engineering at Duke University
Contributions:61 pushes, 1 branch in 7 years 2 months
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Trishul Nagenalli - Software Engineer at Abnormal Security