Vijay Deshpande is an Advanced AI Engineer based in Bengaluru with 11 years of software experience and 8+ years focused on computer vision and generative AI. He currently builds mobile and AR/VR-aware deep learning solutions at Honeywell, specializing in mobile GPU optimization and Android integration. His background includes deploying object detection, segmentation, and anomaly-detection workloads at Intel’s IoT lab and contributing to PyTorch-related engineering and CI/CD for accelerator targets. Comfortable across the stack—from Android NDK/OpenGL ES to PyTorch, Docker, and Kubernetes—he blends research-grade computer vision from an MTech with pragmatic production engineering. Colleagues know him for bridging low-level performance tuning with applied AI features that ship on constrained devices.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, 7.98, Bachelor's degree, Computer Science, 7.98 at Amravati University
+2, Theoretical and Mathematical Physics, A, +2, Theoretical and Mathematical Physics, A at Narayana Junior College
Master of Technology - MTech, Computer Vision and Machine learning., Master of Technology - MTech, Computer Vision and Machine learning. at Indian Institute of Information Technology Vadodara
School, Mathematics, School, Mathematics at St Aloysius high school
Contributions:1 push, 1 branch in 2 years 8 months
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Vijay Deshpande - Advanced AI Engineer at Honeywell