Shahu Ranjit — DevOps Engineer

Dynamic and results-driven HPC Engineer with a successful track record in High-Performance Computing (HPC) at the Centre for Development of Advanced Computing (C-DAC) and Indian Institute of Technology, Delhi (IIT Delhi), experience with cray infrastructure with HPE (Hewlett Packard Enterprise), Currently excelling at Jhon deere leveraging HPC applications knowledge with DevOps tools to serve as an effective interface with end users from diverse scientific research domains. Seeking to continue driving impactful advancements in computational research & cloud for contributing expertise to cutting-edge projects. SKILL SETS: ----------- • Skilled in Porting, profiling, debugging, benchmarking, troubleshooting, and tuning HPC applications on various architectures. • Expertise in performance analysis and optimization techniques • Containerized applications with Docker, simplifying deployment and scaling processes • Utilized Kubernetes for container orchestration, enabling seamless scaling and self-healing of applications. • Skilled in shell scripting, programming languages such as C, C++, Python, etc. • Working experience on shared and distributed parallel programming models (MPI, OpenMP), CUDA. • Skilled in client support, delivering training/workshops to HPC users. • Strong understanding of HPC hardware and system architecture • Excellent problem-solving, analytical, and communication skills • Automated infrastructure provisioning and configuration management using Ansible playbooks. • Familiarity with cluster management and job scheduling tools (e.g., Slurm, PBS, LSF) • Solid knowledge of Linux/Unix system administration and shell scripting • Working experience with Intel Architectures, Nvidia GPU Architectures, and Tools like Intel VTune Profiler, and Intel Advisor. • Adaptability to work in fast-paced, collaborative research environments • Managed and monitored cloud resources to ensure optimal performance, cost efficiency, and security. • Ability to analyze, troubleshoot, and resolve complex HPC system issues

Stackforce AI infers this person is a High-Performance Computing specialist with expertise in cloud computing and scientific research.

Location: Pune, Maharashtra, India

Experience: 6 yrs 3 mos