Summary
Pranav Gupta is a Senior Camera System Engineer and AI/ML researcher with nine years of experience building vision-language and computer vision systems, currently applying his expertise at Qualcomm. He has driven research that bridges visual and linguistic models—publishing at CVPR and ECCV—and led applied AI projects from stealth drone surveillance (resulting in a provisional US patent) to deployed CCTV crowd-safety systems. His background includes a Student Researcher stint at Google and an MS by Research from IIIT Hyderabad, where he focused on multi-object multi-part scene parsing and factorized object-attribute learning. Comfortable shipping production code in Python and C++ and using PyTorch, TensorFlow, and Docker, he has a track record of translating cutting-edge research into real-world camera and surveillance solutions. Notably, his work often blends deep model innovation with systems-level deployment, making him equally fluent in research papers and product-ready engineering.
9 years of coding experience
4 years of employment as a software developer
MS by Research, Computer Science, MS by Research, Computer Science at International Institute of Information Technology Hyderabad (IIITH)
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Savitribai Phule Pune University (SPPU)
Gujarati, English