Summary
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.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at National Institute of Technology Raipur
University of California, San Diego
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Auburn University
Telugu, Hindi, English