Tribhuvanesh Orekondy is a research scientist and staff engineer with 14 years of experience building machine learning systems, currently focused on on-device LLMs and edge AI at Qualcomm in the Zürich area. He combines rigorous academic training—a PhD in Mathematics and Computer Science and a high-performing MSc from ETH Zurich—with industry experience spanning research internships and production engineering at Amazon. His work bridges foundational ML research (visual question answering, structured prediction) and practical deployment on constrained hardware, reflecting a unique strength in translating research prototypes into scalable, device-ready solutions. At Qualcomm he progressed rapidly through senior research roles, signaling both technical depth and impact-driven execution. Colleagues describe him as equally comfortable diving into mathematical formulation and optimizing system-level implementations, an uncommon blend that accelerates product-ready ML innovation.
14 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, 5.58 (on 6.0), Master's degree, Computer Science, 5.58 (on 6.0) at Eidgenössische Technische Hochschule Zürich
Bachelor of Engineering, Computer Science, 9.41 (Scale of 10), Bachelor of Engineering, Computer Science, 9.41 (Scale of 10) at Visvesvaraya Technological University
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at Universität des Saarlandes
Knockoff Nets: Stealing Functionality of Black-Box Models
Contributions:21 commits, 7 pushes in 1 year 1 month
boxnetsstealingknockoffblack-box
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Tribhuvanesh Orekondy - Research Scientist (Staff Engineer) at Qualcomm