Trishul Nagenalli
Staff Software Engineer at Abnormal AI
New York, New York, United States
Summary
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Senior🎓
Top SchoolTrishul 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.
10 years of coding experience
6 years of employment as a software developer
Poolesville HSBS, BSE, Computer Science, Electrical & Computer Engineering, BS, BSE, Computer Science, Electrical & Computer Engineering at Duke University
Stackoverflow
1reputation
0reached
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Github Skills (5)
redis-database8
middleware7
redis6
cube2
machine-learning1
Programming languages (3)
Github contributions (5)
tn74/reem
Feb 2019 - May 2019
REEM (Redis Extendable Efficient Middleware) is a package to ease inter-robot communication via a central redis database
Contributions:1 release, 104 commits, 85 pushes in 3 months
middlewareredisredis-database
tn74/personal
Dec 2017 - Jun 2026
Contributions:64 pushes, 1 branch in 8 years 7 months
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