Satyavrat Prabhune
Machine Learning | Edge Computing | Software Development & Engineering Leader | High Performing Teams | Agile | Project Management | Architecture | Distributed Systems | SaaS Cloud Microservices | AWS GCP | DevOps | SRE
- Role
- Director, Cloud Software at SiMa.ai
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Satyavrat Prabhune
SiMa.ai™ is all about scaling Physical AI! We are passionate about scaling Physical AI across robotics, automotive, industrial automation, aerospace & defense, smart vision, and healthcare. We are shipping the industry\'s best, purpose-built, software centric Physical AI HW/SW platform that is best in class in ease of use, performance, and power efficiency. SiMa.ai is led by technologists and business veterans and backed by a set of top investors committed to scaling Physical AI.Building new products to instantly evaluate model performance—Throughput, Latency, Power—on SiMa.ai’s cloud-hosted MLSoC boards. Powered by AWS and FTR-aligned, Edgematic offers enterprise-grade security with full data privacy and control.My expertise in building and delivering high-quality, scalable SaaS products alongside full-stack product development leadership for the most innovative technologies has led to unparalleled execution excellence that ensures stakeholders—from product management, cross-functional teams, and customers—are delivered the best product for the best value.Core to my success is building a culture of trust with people. In leading, training, and empowering diverse teams of professionals, I guide them with the understanding that we win together and we lose together because we are all in this together; so give all of yourself to make our products better. This gifts them a shared responsibility and strength to march together for a win. This attitude extends to the reputation for quality, service, and security we have among customers for some of their most sensitive communications.My Key Highlights:Built machine learning edge computing product from ground-up for cloud-hosted MLSoC boards - a no-code, visual platform for AI/ML embedded edge systems.Achieved $58M savings per year in cloud infrastructure costs; 80% cost savings.Increased Webex service efficiency by 400%, resulting in direct cost savings and improved media quality.Reduced software bugs by 90% directly reflected in higher customer satisfaction scores.Ran services incident-free for six months compared with one incident registered every two weeks previously.
Experience
Director, Cloud Software
Jan 2025 — Present · San Jose, CA, US
Accelerating Physical AI Development with SiMa.ai’s Edgematic on AWS Marketplace — a no-code, visual platform for building, testing, and deploying AI/ML pipelines on edge devices, ideal for developers with or without ML or embedded systems expertise.
Education
Santa Clara University
Master of Business Administration (MBA)
College of Engineering Pune
Bachelor of Engineering (BE)
Purdue School of Engineering, Indianapolis
MS
Skills
- Windows
- Eclipse
- Servlets
- Rally
- Tomcat
- C
- Spring
- Ical
- Microsoft Excel
- Telepresence
- Powerpoint
- Http
- Jquery
- Xml
- Wsdl
- Json
- Css
- Microsoft Office
- Microsoft Word
- Struts
- Team Leadership
- Agile Methodologies
- Jetty
- Telecommunications
- C++
- Design Patterns
- Javascript
- Uml
- Html
- Cloud Applications
- Sql
- Restful Webservices
- Linux
- Hibernate
- Teamwork
- Maven
- J2ee Application Development
- Ios
- Java
- Android
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