Yatharth Garg is an AI Engineer based in the New York City area with 9 years of experience applying machine learning and cloud-native engineering to production systems. He has progressed through research and industry roles—from building a CNN-based speech-accent recognition model in academia to leading NLP and ML initiatives at Verizon and senior principal engineering at Manhattan Associates—and now focuses on AI platform work at Livefront. Comfortable in Python and C++, he blends hands-on model development with scalable infrastructure design, shipping solutions that improved acoustic classification accuracy from 65% to 80% early in his career. Known among peers as an "under construction" engineer who thrives on continuous improvement (and coffee), he brings a practical mix of research rigor and production discipline to cross-functional teams.
9 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at The University of Texas at Arlington
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The NorthCap University
Contributions:7 commits, 5 pushes, 1 branch in 8 months
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