Anand Parthasarathi — Engineering Manager
Engineering leader with over five years of experience advancing NVIDIA’s mission of building AI factories by leading the execution of cloud-native, GPU-accelerated platforms. Focused on leveraging Kubernetes environments to treat GPUs as first-class resources, enabling scalable and innovative solutions for AI-driven workloads. The team emphasizes roadmap delivery, cross-organizational collaboration, and operational excellence to achieve robust infrastructure solutions across edge and data center environments. Known for contributing to patented innovations, the organization is at the forefront of transforming AI infrastructure globally.
Stackforce AI infers this person is a Cloud Infrastructure Engineer specializing in AI-driven solutions.
Experience: 19 yrs 7 mos
Skills
- Kubernetes
- Cloud Computing
- High Availability Systems
- Networking
- Operating Systems
- Web Development
Career Highlights
- Engineering leader with over five years of experience.
- Expert in cloud-native, GPU-accelerated platforms.
- Known for patented innovations in AI infrastructure.
Work Experience
NVIDIA
Engineering Manager (4 mos)
Senior Software Engineer (5 yrs 2 mos)
NetApp
Software Engineer (Kubernetes Native File Services) (1 yr 6 mos)
Software Engineer (Networking) (4 yrs 4 mos)
Software Engineer (High Availability Interconnect) (4 yrs 9 mos)
Student Intern (7 mos)
FREEDM Center NCSU
Admin & Business Specialist (5 mos)
North Carolina State University
Graduate Student (1 yr 5 mos)
EFI India Pvt Ltd
Sofware Engineer (2 yrs 11 mos)
Education
Master's at North Carolina State University
B.E at Madras Institute of Technology
Higher Secondary Certificate at Atomic Energy Central School