Raushan Joshi — CTO

I'm results-driven Machine Learning Engineer with over 6 years of hands-on experience building and deploying end-to-end AI solutions, now specialized in optimized Computer Vision, LLM RAG/Agents, and spatial intelligence for Edge devices. I recently completed my Master's in Artificial Intelligence at the University of Surrey. At Samsung Research Institute (2018–2025), I led innovative projects in the distributed Smart Home IoT ecosystem, including "intelligent widgets" for the flagship device Galaxy Z-series. Further, I developed and deployed lightweight models and solutions on resource-constrained edge devices while handling sensor fusion and multimodal data to enhance user experiences in SmartThings apps. My expertise lies in: 1. ML Engineering: Full-cycle development from model training (PyTorch/TensorFlow) and optimization (quantization, pruning, CUDA acceleration) to production deployment on embedded systems, distributed cloud (AWS/GCP), and Android platforms. 2. Computer Vision: Pose estimation, visual odometry, point cloud processing, and semantic scene understanding with tools like OpenCV, CUDA, and Open3D. 3. Multi-modal AI : Integrating foundation models for computer vision, Gen AI, and LLMs with a deep grasp of architectures, mathematics, and ethical design. Always eager to collaborate on high-impact opportunities in Engineering, Deep Learning and Computer Vision. Let's connect! Portfolio: https://joshir199.github.io/ GitHub: https://github.com/joshir199 X (Twitter): https://x.com/RaushanJoshi1

Stackforce AI infers this person is a Machine Learning Engineer specializing in IoT and AI-driven solutions.

Location: Guildford, England, United Kingdom

Experience: 6 yrs 7 mos