Harsha Gn
Project Manager at Dautom Technologies Llc at Dautom
Based in Dubai, United Arab Emirates
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Seniority
Other
Department
Other
Location
Dubai
Industry
IT Services and IT Consulting
Company size
88
Contact information
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h•••••••@dautom.com
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5 credits+971 ••• •••• ••••
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Background
About Harsha Gn
Transforming AI ambitions into enterprise-ready infrastructure. With 19+ years in R&D at IBM (POWER Systems) and HPE (Synergy/Apollo Proliant systems), I architect high-performance solutions that turn data into decisive value. My expertise lies at the intersection of performance engineering (SPEC/TPC), AI infrastructure, and enterprise-scale resilience – ensuring systems don’t just function, but excel. I’m targeting Dubai to pioneer the next wave of AI innovation. The UAE’s National AI Strategy 2031 and Dubai’s push to become a global AI hub align perfectly with my mission: Building infrastructure where latency, scalability, and cost-efficiency meet real-world AI/ML demands. From GPU clusters for inferencing to hybrid cloud data pipelines – I optimize what matters.**Proven AI Infrastructure Leadership:**- Designed & tuned systems for 30%+ performance gains (validated via **SPEC/TPC** benchmarks)- Built GPU-accelerated stacks for real-time AI in finance/healthcare at HPE/IBM.**Hardware-to-Cloud Fluency:**- Deep legacy in **IBM POWER** & **HPE Proliant/Apollo**, now focused on cloud-native AI (Kubernetes, TensorFlow, PyTorch).**Business Impact Driven:**- Reduce TCO, maximize uptime and future-proof systems – because AI shouldn’t break the bank. Let’s Build the Future: I partner with forward-thinking teams to- Design **performance-validated AI infrastructure**(on-prem/cloud). Let’s connect if you’re scaling AI/cloud adoption in the Middle East! You can reach me at harsh.lambzee@gmail.com. Keywords: AI Infrastructure Dubai, Performance Engineering, SPEC/TPC, GPU Clusters, Enterprise Architecture, IBM POWER, HPE Synergy, ML Scaling, Hybrid Cloud AI, Dubai AI Labs, UAE National AI Strategy. Based in Dubai and ready to collaborate. Open to roles: CTO/Infrastructure Lead | AI Solutions Architect | Performance Engineering Director.
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