Raushan Joshi

Senior Research Engineer with over 6 years of hands-on experience in the research, development, and deployment of machine learning solutions. Holds a Master’s degree in Artificial Intelligence, specializing in Spatial Intelligence and 3D Vision. Skilled in end-to-end project delivery, model development, deployment, and team leadership, with proven ability to deliver impactful AI solutions.

Master’s Thesis, 3D Computer Vision Research University of Surrey, UK Apr 2025 - Sep 2025
• Developed novel approach for real-time 3D object editing in 3D Gaussian Splatting (3D-GS) scenes, achieving state-of-the-art results in 3D object removal while preserving multiview consistency.
• Enhanced 3D Gaussian Splatting (3D-GS) for advanced scene-level editing by integrating SAM-HQ based high-quality segmentation, significantly improving boundary fidelity for AR/VR, robotics, and simulation applications.
• Thesis work submitted as a full research paper to IEEE ICASSP 2026, demonstrating contribution to cutting-edge 3D computer vision research.
 

Lead Engineer
Samsung Research Institute, Bangalore Mar 2024 - Feb 2025
• Developed pose-free 3D scene reconstruction of indoor smarthome mapview using 3D Gaussian splatting. Conducted deep research and designed an efficient pipeline enabling near real-time photorealistic scene rendering.
• Led the development of LLM-based RAG (Retrieval Augmented Generation) solutions for Smart Home ecosystems under the ‘Research to Market’ initiative, improving intelligent user experience for 30 million users worldwide.
 

Senior Engineer
Samsung Research Institute, Bangalore Apr 2021 - Mar 2024
• Led a cross-functional team of 3 engineers to minimize energy consumption in the Smart home ecosystem. Implemented and deployed ML model pipeline on GCP and achieved 15% reduction in customer’s energy bills.
• Led the development of key product features, including “Intelligent Widgets” for SmartHome IoT devices in the SmartThings app, showcased during the Samsung Galaxy Z - series launch.
• Developed ML pipeline for SmartThings App and managed its lifecycle for predicting the smart device actions on streaming data flows in IoT Smart Home Environment setups.
 

Engineer
Samsung Research Institute, Bangalore Jun 2018 - Apr 2021
• Developed an intent-based personalization machine learning model for the Samsung Health project, leveraging user insights and interaction data to increase user engagement by 20%.
 

Research Intern
KPIT Technologies, Pune May 2017 - Jul 2017
• Developed pipeline for steering angle prediction & Lane detection using a CNN model on autonomous car video feed.

Master of Science in Artificial Intelligence
University of Surrey, Guildford, UK      Feb 2025 - Jan 2026