Akash Vibhute
Building In Stealth Applied AI
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolAkash Vibhute is a robotics and applied-AI leader with 11 years of experience turning electro-mechanical concepts into production-grade, connected robot systems and cloud-native deployments. He has led technical programs and large-scale rollouts—most notably creating a Kubernetes-based Open-RMF deployment template that became an industry standard and securing government approval for cloud/IoT use in Singapore healthcare. His background spans hands-on research (swarm control, IMU gait tracking, kinestatic robot controllers) to commercial RaaS operations and APAC country leadership, giving him rare end-to-end expertise from microcontroller firmware to distributed cloud orchestration. Currently building in stealth on frontier AI for manufacturing and education, he combines product delivery discipline with a passion for improving connectivity in challenging topologies. He holds an MS in Mechanical Engineering and is an inventor with publications and patents that reflect a continuous thread of practical innovation.
11 years of coding experience
13 years of employment as a software developer
BE Mechanical Engineering, BE Mechanical Engineering at Government College of Engineering, AurangabadMS Mechanical Engineering, MS Mechanical Engineering at University of Florida
Github Skills (38)
ignition10
gazebosim9
robotics9
robot-simulator9
sdf9
yarp9
urdf9
robotics-simulation9
ros8
engine-io8
docker7
webots6
fleet6
client-library6
socket-io6
Programming languages (5)
Github contributions (5)
open-rmf/rmf_deployment_template
Jun 2022 - Sep 2022
This repo provides a template to deploy RMF
Contributions:27 reviews, 26 commits, 16 PRs in 2 months
rmfdocker
akash-roboticist/rpi-ros2
Dec 2019 - Mar 2020
Contributions:13 commits, 4 pushes, 1 comment in 2 months
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