Hi, I'm Sahil.
I design and deploy production-grade perception, localization, and multi-robot fleet systems for autonomous mobile robots in GPS-denied environments, across warehouse logistics, industrial harbours, and cleanrooms. My work spans multi-modal 3D vision stacks, SLAM, sensor fusion, and coverage validation systems, building scalable solutions from state estimation through to reliable field deployment.
Currently a Research Engineer at ROS-Industrial Asia Pacific, A*STAR Singapore, in the domain of autonomous robotics. Previously a researcher at SUTD with the Singapore-MIT Alliance for Research & Technology (SMART) and the SUTD-MIT International Design Centre (IDC) in autonomous driving and additive manufacturing. Peer-reviewed author at IEEE IROS and applied-science journals, ROS 2 technical trainer, and cross-functional team lead translating perception research into deployable systems. I have also taught ROS 2, perception, and machine learning courses to industrial engineers, technical managers, and university and polytechnic students.
Core Competencies
- Perception and Localization: SLAM, multi-sensor fusion, state estimation, 3D vision, point cloud processing
- Robotics and Autonomy: ROS 2, multi-robot fleet management, Open-RMF, autonomous navigation
- ML and AI: PyTorch, deep learning, model deployment, reinforcement learning, foundation models
- Leadership: Cross-functional team lead, technical roadmap, mentorship, stakeholder management
Education
-
B.Tech. in Mechanical Engineering, 2017
Manipal University, India
-
Bachelor's Semester Exchange, 2017
Nanyang Technological University, Singapore
