Bom Singiali
IT Program Developer (Hpc Engineer) @Helmholtz Munich
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WORK HISTORY
IT Program Developer (Hpc Engineer) @Helmholtz Munich
Work and collaborate with Scientists, Researcher and PhDs members about Technologies/Software/Solutions related to High Performance Computing(HPC), Machine Learning(ML), Deep Learning(DL), GPUs etc.
EDUCATION
IIHT, Bangalore
B.S.c.IMS, IT Infrastructure Management System
Central School for Tibetan, Dehradun
+2, Humanities
ABOUT BOM SINGIALI
Experienced IT professional with 15+ years of experience specializing in HPC and AI Infrastructure Architecture, Engineering and Operations.# Currently leading the HPC Team at Helmholtz Munich, supporting Large-Scale Scientific Computing environments for Bioinformatics, AI for Life Science and Research. I work at the intersection of architecture, operations, and collaboration, enabling teams to run complex, data-intensive workloads efficiently at scale.# My focus is on building robust, scalable, and future-ready infrastructure that enables scientific discovery and innovation. I design and operate high-performance platforms powering bioinformatics pipelines, AI/ML workloads, and high-performance data analytics (HPDA), ensuring performance, reliability, and scalability across research and enterprise environments. I am particularly interested in advancing into roles focused on HPC & AI platform architecture, where I can drive innovation, mentor teams, and build infrastructure solutions that accelerates scientific and technological breakthroughs.## Core Expertise# HPC & AI Infrastructure ArchitectureHPC Platforms • AI Infrastructure • HPDA Systems • AI for Science • Scalable Compute & Storage Architectures # Scientific Computing & Research PlatformsLife Sciences Infrastructure • Bioinformatics Workloads • Research Computing • Data-Driven Science Platforms # Infrastructure Engineering & Automation, Infrastructure as code (IaC)Linux-Heavy, Python, Open Source Ecosystem, Ansible, OpenTofu, Pulumi, K8s, Python Ecosystem, etc.# Performance, Scalability & ReliabilityMonitoring & Observability • Performance Optimization • High Availability • System Resilience
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