Shubham Baid is an AI and Computer Vision Engineer with 8 years of hands-on experience building real-time vision pipelines, edge deployments, and multimodal LLM integrations across Jetson and Intel platforms. He has led teams and shipped production systems—from school safety camera suites and ALPR modules to agentic marketing workflows—delivering measurable impact like reduced delivery delays and improved CTR. Skilled in Python, C/C++, PyTorch, TensorRT and OpenCV, he focuses on resource-efficient pipelines and hardware-aware optimizations (NEON, quantization) to make models practical on low-power ARM and embedded devices. NVIDIA Jetson and Intel Edge AI certifications back his applied expertise, while a penchant for rapid prototyping and rigorous real-world testing ensures models perform beyond benchmarks. Based in Bengaluru, he’s drawn to projects where AI creates tangible value across industry and environmental use cases and casually sums up his approach on GitHub as “lemme just build !!”
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at REVA University
Contributions:8 PRs, 33 pushes, 1 branch in 3 years 9 months
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