Shanmukha Vellamcheti

Doctoral Student at Auburn University, Samuel Ginn College of Engineering

Auburn, Alabama, United States
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Summary

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Shanmukha Vellamcheti is a doctoral student and computer vision researcher with eight years of hands-on experience across the ML lifecycle, from data collection and annotation to model development and deployment. Currently at Auburn University, he combines transformer-based vision models with LLM-driven common-sense reasoning and priors to push state-of-the-art multi-object, multi-relation detection and scene understanding in open-world and zero-shot settings. His background includes robotics and medical imaging work at UCSD, production-oriented CV engineering that halved deployment costs at Omnipresent Robot Tech, and NLP-focused research at NIT Raipur, giving him a rare blend of research depth and systems-level pragmatism. Proficient in Python, PyTorch, TensorFlow, OpenCV, CV and NLP, he’s motivated by building AGI-relevant capabilities and developing ML solutions that can scale and impact real-world problems.
code8 years of coding experience
job1 year of employment as a software developer
bookBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at National Institute of Technology Raipur
bookUniversity of California, San Diego
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Auburn University
languagesTelugu, Hindi, English
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Stackoverflow

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1reputation
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Github Skills (14)

q-learning9
gymnasium9
reinforcement-learning8
machine-learning7
deep-learning7
regex6
react4
android-sdk3
nextjs3
sdk2
kotlin2
android2
dialogflow2
vui2

Programming languages (2)

JavaPython

Github contributions (5)

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shanmukha-MaiL/OCR-sanskrit

Feb 2019 - Mar 2024

Contributions:2 pushes, 1 branch in 5 years 1 month
Contributions:53 pushes, 2 branches in 2 days
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Shanmukha Vellamcheti - Doctoral Student at Auburn University, Samuel Ginn College of Engineering