Mohammed Sabeel Ahmed
Member of Technical Staff Systems Engineer @AMD
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WORK HISTORY
Member of Technical Staff Systems Engineer @AMD
San Jose, CA, US
As Data Infrastructure Engineer with hands-on experience managing enterprise storage systems, high-performance computing (HPC) clusters, and cloud environments. I work across a wide range of technologies including NetApp, Pure Storage, Vast Data, VMware, and Kubernetes to deliver scalable, high-performance storage solutions.I manage storage provisioning, performance tuning, and data protection across hybrid environments, integrating seamlessly with virtual and containerized platforms. I also support HPC clusters powered by MI300 GPUs, optimizing compute and storage layers for AI, ML, and scientific workloads.In the cloud, I work on Azure and Oracle Cloud Infrastructure (OCI), designing secure and scalable storage architectures. I also deploy and maintain object storage systems like Weka and MinIO for data lake and AI workloads.My role extends into data engineering and analytics. I use tools like Dremio and Apache Iceberg for modern data lake architecture and analytics. To forecast storage trends and capacity needs, I leverage DeepAR—a probabilistic time-series model that helps plan for growth and reduce risks of over- or under-provisioning.I present these insights using interactive Power BI dashboards, enabling leadership and operations teams to make data-driven decisions.Automation is a key part of my work—I use Python and Shell Scripting to streamline repetitive tasks, from monitoring to reporting, and integrate them into GitHub-based CI/CD workflows.
EDUCATION
VANI NIKETHAN VIDYA SAMITHI
High School/Secondary Diploma Programs
Trine University
Master's of Science in Engineering
SR COLLEGE
Junior High/Intermediate/Middle School Education and Teaching
Jawaharlal Nehru Technological University
Bachelor of Engineering - BE, Engineering
ABOUT MOHAMMED SABEEL AHMED
Experienced professional with a strong background in High-Performance Computing (HPC), Artificial Intelligence/Machine Learning (AI/ML), and Generative AI. Proven expertise in data preparation, data lake architecture, and AI-focused storage solutions. Skilled in forecasting storage requirements using time series forecasting with deep learning models like DeepAR and Transformers. Successfully integrated diverse AI workloads with Power BI for advanced data visualization and analytics. Proficient in programming languages including Python and C, enabling the development of efficient and scalable solutions for complex data-driven projects.In transition to next phase of my career, I am looking for challenging and growth oriented opportunities with a progressive fast paced organization in \'United States of America\'. My key technical expertise lies in following fields and platforms :• Storage Technologies:Netapp,Pure,Isilon,Unity,Vast Data,Minio,Weka,Hammer Space,Storage Grid• Operating Systems: Windows Server, Linux, Unix• Virtualization: Vmware,KVM,Citrix• Programming : Python,C• Predictive Modeling• Data Analysis• Time-Series Forecasting• Machine Learning Algorithms• PowerBI• GPU Architecture:MI250,MI300I’m trying to Keep myself updated with the new technology- Data Science,ML,AI,HPC,OCI,AWS,AzureI strive to be the best in whatever I do and I truly believe in hard hard work.Positive attitude, responsible nature and effective time management are my key strengths that has helped me to grow in my career and life.
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