Ekansh Gupta is a research scientist and PhD graduate from Georgia Tech with a decade of experience blending applied machine learning, signal processing, and systems software for brain-computer interfaces and communications. He transitioned from building 5G network and protocol stack software at Samsung—including large performance wins in LDPC decoding and NTNs—to pioneering domain adaptation, transfer learning, and hybrid BCI paradigms in academia. At Georgia Tech he explored nonlinear interactions between neural potentials and used EEG to provide implicit reward signals for reinforcement learning in cyber-physical systems. Now at Meta, he brings rare cross-domain expertise that ties low-level optimization and real-time systems thinking to advanced deep learning methods for noisy biosignals. Colleagues value his ability to move between production-grade engineering and theory-driven research, often finding practical algorithmic shortcuts rooted in systems insight.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Georgia Institute of Technology
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