Xiaofeng Zhu

Staff Technical Program Manager @DataCore Software

Hollywood, FL, US
MOBILE NUMBERS
+19•••••••26

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WORK HISTORY

Oct 2020 — Present

Staff Technical Program Manager @DataCore Software

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Fort Lauderdale, FL, US

Managed portfolio of projects, ensuring coordination of shared resources, common activities, and other dependencies across projects leading to revenue of $50M+• Overhauled company’s legacy software development life cycle and adopted a unique hybrid approach to streamline multiple products’ releases, achieving 50% reduction in release time • Developed comprehensive monitoring of risks, issues, dependencies, contingency plans, and available resources to remove any roadblocks resulting in 90% of milestones achieved on time • Increased prospects conversion rate by 25% and customer NPS score 30% by simplifying company’s product licensing model activation/renew process• Fully automated and streamlined the sales operations that involves order management, finance, and customer support, cut sales order processing time from 2 days to 3 seconds.

EDUCATION

1989 — 1993

Xidian University

Bachelor of Arts (B.A.), Communication Engineering

2004 — 2006

Florida Atlantic University

MBA, Finance

1995 — 1997

Florida Atlantic University

Master of Science - MS, Computer Engineering

ABOUT XIAOFENG ZHU

Director of Engineering and platform architecture leader with 18+ years building and scaling cloud services and distributed systems, with recent focus on AI infrastructure—the platforms, reliability, and operational rigor required to run large-scale training and inference.Most recently at Zhejiang Lab, I led engineering for a large-scale AI compute platform, including heterogeneous GPU resource management and scheduling (NVIDIA + domestic accelerators), Kubernetes-based operations, and an AIOps/Agent-driven workflow that connects logs, metrics, events, and job metadata to accelerate incident triage and root-cause analysis—supporting AI training/inference jobs. I also supported platform readiness for LLM training workflows (pre-training and SFT), emphasizing scalability, observability, and engineering excellence.I operate at the intersection of strategy and execution: translating business goals into platform roadmaps, building high-performing teams, and delivering systems that are scalable, resilient, observable, and cost-efficient. I’m comfortable driving cross-functional alignment with product, security, operations, and partners—setting standards, clarifying interfaces, and ensuring consistent delivery.Core focus areas: AI Infrastructure, Platform Engineering, Kubernetes, GPU Scheduling / Heterogeneous Compute, Distributed Systems, Observability, Reliability Engineering (SRE), AIOps/AI Agents, MLOps, LLM Pretraining, SFT, CI/CD.Open to US-based Director of Engineering roles focused on AI Infrastructure / Platform Engineering.

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