Summary
Shuvam Deyashi is a Senior Software Engineer specializing in AI-driven computer vision and edge inference, with seven years of experience building scalable IoT and enterprise systems. He combines a strong foundation in pure/applied mathematics and physics with hands-on expertise in C, C++, Python, and embedded systems to optimize models for real-world deployments on Nvidia Jetson and Raspberry Pi. Shuvam has repeatedly reduced production friction—evidenced by a 600% CI/CD speedup on a supply-chain product—and focuses on model conversion and profiling across PyTorch, TensorFlow, TensorRT and DeepStream. He designs distributed architectures and cost-efficient AI hardware solutions while translating pretrained models into tailored business logic for video analytics and image data analysis. A committed mentor and team collaborator, he also brings robotics R&D and STEM education experience that informs pragmatic prototyping and edge-first thinking. Based in Bengaluru, he blends research-driven rigor with production-focused delivery to drive applied AI from lab to field.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Technology Electrical Engineering, Bachelor of Technology Electrical Engineering at Rajasthan Technical University
English, Bengali, Hindi, Gujarati