Naman Adep — Co-Founder

Final-year MBA Tech student at NMIMS, building expertise at the intersection of GPU systems, HPC infrastructure, and AI infra operations. I design and benchmark GPU-accelerated systems for AI and scientific workloads — with a focus on NVIDIA GPU infrastructure, multi-GPU scaling, performance engineering, and cloud-native AI deployments. Currently working on AI infrastructure products including GPU Virtual Machines (H200 SXM/NVL), GPU Worker Nodes, and IaaS offerings — gaining hands-on experience with enterprise-scale GPU infrastructure, Kubernetes-based orchestration, and observability pipelines. Triple NVIDIA-Certified: AI Infrastructure & Operations | Generative AI LLMs | Infrastructure Professional Also Certified: AWS AI Practitioner | ISC2 Certified in Cybersecurity | AWS Cloud Practitioner Key interests: CUDA optimization, parallel computing (MPI/OpenMP), distributed AI training, NCCL benchmarking, GPU cluster management, and DevSecOps automation. Targeting roles in HPC Engineering, GPU Systems, AI Infrastructure, and Performance Engineering at companies like NVIDIA, AMD, and Intel. Open to collaborations, research projects, and internship opportunities in HPC and GPU computing.

Stackforce AI infers this person is a skilled professional in AI Infrastructure and Cybersecurity with a focus on educational technology.

Location: Mumbai, Maharashtra, India

Experience: 0 mo