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Cemal Ulgerli

AI Infrastructure & Governance|

Infrastructure professional targeting AI Infrastructure & Governance and Infrastructure Management roles. At Exclaimer I deployed Claude Enterprise, built a local LLM service for confidential data, and put Microsoft Purview governance over both — plus owned vendor contracts, incident management, and cost reduction across our estate.

Cemal Ulgerli
📍 London, UK
7+
Years Experience
13000+
Users Supported
50+
Sites Managed
5
Certifications

Infrastructure Management, Delivery & AI Operations

I'm a Senior IT professional based in Romford, London, with over 7 years of hands-on experience running and improving enterprise infrastructure — and a growing record of leading AI infrastructure initiatives from research through to production. I'm now targeting Infrastructure Management and IT operations leadership positions, where I can pair hands-on technical judgement with ownership of delivery, vendors, and governance.

My foundation covers the full infrastructure stack: Palo Alto and Cisco network security, Azure and hybrid cloud, Microsoft 365, and endpoint management at scale. Through it I've operated environments where reliability carries direct financial consequences — hedge fund and fintech platforms supporting 13,000+ users, 50+ sites, and multi-million-pound infrastructure decisions, including an on-prem-to-Azure migration that saved £3.2M.

My current focus is AI infrastructure at Exclaimer. I set up Claude Enterprise as our standard frontier model — covering deployment, access policy, and cost controls — and personally trained teams to adopt it in day-to-day work. Alongside that, I researched the local-model landscape and designed and implemented a local LLM service for confidential data, so sensitive workloads never leave our perimeter while routine work continues to benefit from frontier capability.

Crucially, I wrapped both in governance: I deployed Microsoft Purview across Claude and our local model deployment — data-loss-prevention policies, sensitivity labelling, and audit trails — so every AI interaction is classified, logged, and enforceable rather than ad-hoc. That combination — build it, run it, govern it, train people on it — is what I want to bring to an Infrastructure Management role.

🧠

AI Infrastructure & Governance

Deployed Claude Enterprise with user training, built a local LLM service for confidential data, and enforced governance through Microsoft Purview.

🔥

Enterprise & Fintech Operations

Background supporting hedge fund and global financial services environments where uptime, auditability, and security are non-negotiable.

☁️

Cloud & Cost Ownership

Led on-premises-to-Azure migrations at scale — including a project that saved £3.2 million in infrastructure costs.

🛡️

Security-First Mindset

Deep expertise in Palo Alto Firewalls, Panorama, Cisco ISE, and policy-driven network security — extended to AI data flows.

Core Competencies

Hands-on expertise across networking, cloud, security, and automation.

🌐

Networking & Security

Palo Alto Firewalls Panorama Cisco Meraki Cisco ISE SD-WAN BGP / Routing VLANs TCP/IP DNS / DHCP F5 Load Balancers SolarWinds IPControl (CIDR)
☁️

Cloud & Systems

Microsoft Azure Hybrid Infrastructure Active Directory Windows Server 2008–2022 Azure AD / Entra ID Intune VMware Horizon Citrix
💼

Microsoft 365 & EUC

Exchange Online Microsoft Teams Microsoft Intune NinjaOne Bloomberg Terminal Windows / macOS iOS / Android MDM VPN
⚡

Automation, Security & Other

PowerShell Python CrowdStrike Trellix ServiceNow ConnectWise Avaya PBX RingCentral Cisco Webex Vendor Management ITIL Asset Lifecycle

AI & LLM Infrastructure

Building Exclaimer's AI infrastructure and governance stack — private models for private data, frontier models for everything else.

PRIVACY-CRITICAL
Customer data · Internal finance · HR · Unreleased roadmap
AI GATEWAY
Policy routing · DLP pre-screening · Audit logging · Token budgets
PRIVATE LLM
Fine-tuned open-weight models on owned hardware — data never leaves our perimeter
🧪

Model Training & Fine-Tuning

LoRA / QLoRA Dataset Curation Domain Adaptation GGUF / AWQ Quantization Evaluation Harnesses RAG Pipelines Prompt Engineering Unsloth / Axolotl
🖥️

AI Infrastructure & Serving

Private / On-Prem LLMs GPU Sizing & Selection Model Routing vLLM / llama.cpp / Ollama OpenAI-Compatible Endpoints PagedAttention Batching & Latency Tuning Model Lifecycle Management
🔌

MCP & Agentic Systems

MCP Server Setup Gateway Policy Tool Allow-Lists Least-Privilege Agents Internal Tool Integration Agent Audit Trails Credential Vaulting Approval Gates
🛡️

AI Governance & LLMOps

AI Usage Policies Data Classification DLP Pre-Prompt Screening EU AI Act Readiness NIST AI RMF / ISO 42001 LLM Observability Cost & Token Budgets Human-in-the-Loop Gates

Professional Experience

7+ years across enterprise, fintech, public sector, and charity environments.

Exclaimer Current Role
Systems Engineer (targeting Infrastructure Management)
March 2026 – Present · London · SaaS
  • Joined as the primary Systems Engineer at a SaaS company, responsible for building and managing the company's infrastructure and internal platforms from the ground up.
  • Designed and delivered a fully automated Joiners, Movers & Leavers (JML) web application within the first month, reducing the JML process time by 80% and saving significant manual hours each week.
  • AI: Frontier model rollout. Set up Claude Enterprise as Exclaimer's standard frontier model — deployment, access policy, and cost controls — and trained teams across the business to adopt it in day-to-day work.
  • AI: Private inference for confidential data. Researched the local/open-weight model landscape, then designed and implemented a local LLM service so confidential and regulated data is processed on infrastructure we control — while routine, non-sensitive workloads continue to run through frontier APIs.
  • AI: Governance. Deployed Microsoft Purview across Claude and the local model deployment — DLP policies, sensitivity labelling, and audit trails applied to every AI interaction — giving the business an auditable AI usage chain instead of ad-hoc tool usage.
  • Leading infrastructure engineering and platform engineering initiatives, ensuring scalable, secure, and reliable systems.
  • Driving automation and tooling improvements across IT operations to increase efficiency and reduce human error.
Claude Enterprise Local LLM Hosting Microsoft Purview AI Governance Infrastructure Engineering Platform Engineering JML Automation PowerShell Python
Citco UK Limited London
Network Support Analyst
May 2025 – January 2026
  • Supported global enterprise network infrastructure across 50+ sites and 13,000+ users.
  • Managed and administered Palo Alto firewalls via Panorama — security policies, NAT rules, firewall access requests, and compliance documentation.
  • Administered Cisco Meraki infrastructure (switches, WAPs, firewalls) and managed Cisco ISE for network access control and device profiling.
  • Investigated and resolved network incidents (connectivity, latency, packet loss) working to defined SLAs; provided root cause analysis and knowledge base documentation.
  • Carried out firewall and network device upgrades, patching, and maintenance; supported audits by providing rulesets, access logs, and configuration evidence.
  • Maintained accurate network documentation using IPControl (CIDR), network diagrams, and firewall rule registers.
Palo Alto Panorama Cisco Meraki Cisco ISE SolarWinds IPControl BGP SD-WAN
Citco UK Limited London
Senior IT Analyst
October 2018 – May 2025 · 6 years 7 months
  • Provided senior 2nd line support across end-user computing, identity, collaboration, AV, and workplace technologies in a demanding hedge fund environment.
  • Led Azure data migration from on-premises infrastructure — reducing data centre costs by £3.2 million while improving latency and accessibility.
  • Designed and implemented network infrastructure for 4 international offices (Dallas, Paris, Amsterdam, Cyprus) — achieving 99% availability and cutting troubleshooting time by 35% (~250 hours/year).
  • Implemented enterprise Papercut printing infrastructure, saving £300K annually in operational costs while improving security through forced print release.
  • Managed end-to-end user lifecycle (onboarding/offboarding) across Active Directory, Entra ID, Microsoft 365, and Intune at scale.
  • Delivered white-glove IT support to C-suite executives and senior stakeholders, including board meetings and large corporate events.
  • Trained users and IT teams on Papercut and Avaya platforms, creating technical documentation that reduced support requirements by 60%.
  • Worked within ITIL-aligned processes using ServiceNow and ConnectWise; acted as escalation point for 1st line service desk.
Azure Active Directory Microsoft 365 Intune Exchange Online Cisco Webex ServiceNow Avaya PBX CrowdStrike
Redbridge Council London
IT Analyst
March 2018 – October 2018
  • Provided IT support to 3,000+ users across a large public sector organisation.
  • Administered Active Directory, VMware Horizon virtual desktop infrastructure, and Microsoft enterprise environments.
Active Directory VMware Horizon Microsoft 365
British Red Cross London
Service Desk Analyst
November 2017 – March 2018
  • Supported 4,500+ users across Citrix, VMware, Microsoft 365, and enterprise telephony platforms.
Citrix VMware Microsoft 365

Key Achievements

Measurable results delivered across enterprise and fintech environments.

☁️
£3.2M

Azure Cloud Migration Savings

Supported and led a full on-premises to Azure data migration, reducing data centre operational costs by £3.2 million while improving system latency and user accessibility.

⚡
80%

JML Process Efficiency Gain

Built a fully automated Joiners, Movers & Leavers web application at Exclaimer within the first month — cutting the manual JML process time by 80% and saving significant engineering hours weekly.

🌍
99%

Network Availability — 4 Global Offices

Designed and implemented network infrastructure for international offices in Dallas, Paris, Amsterdam, and Cyprus — achieving 99% availability and reducing troubleshooting time by 35% (~250 hours/year).

🖨️
£300K

Annual Operational Cost Reduction

Implemented enterprise Papercut printing infrastructure that reduced printing waste and operational costs by £300K per year, while strengthening security through mandatory print release.

📚
60%

Reduction in Support Requirements

Developed and delivered comprehensive training programmes and technical documentation for Papercut and Avaya platforms, reducing ongoing support requirements by approximately 60%.

👥
13,000+

Users Supported Globally

Managed and maintained enterprise network infrastructure supporting 13,000+ users across 50+ global sites at Citco, ensuring high availability and performance at scale.

Leadership & Ownership

What managing infrastructure actually involves — vendors, budgets, incidents, and people — and what I've personally owned.

🤝

Vendor Onboarding & Contract Negotiation

Own the full vendor lifecycle: evaluating and enrolling new providers, negotiating terms, and consolidating duplicate licences. Renegotiated existing contracts to reduce recurring licence and support costs, and enforced SLA accountability rather than accepting vendor defaults.

👥

MSP Enablement, Training & Mentorship

Trained and mentored our managed-service provider team — building runbooks, escalation paths, and standards so first-line and offshore teams resolve issues without me. The goal was always to make myself a single point of failure.

🚨

End-to-End Incident Management

Run incidents from detection to post-mortem — whether I found them myself (monitoring, log review) or they escalated to me. That means owning the comms, the blameless root-cause analysis, and the preventive fix so the same page doesn't fire twice.

💷

Budget & Technology Rationalisation

Managed infrastructure spend directly: tracking what each platform actually costs versus what it's used for, retiring under-used or unnecessary technology, and redirecting savings into capability. Cost decisions are engineering decisions — every idle licence is architecture debt.

🧭

AI Governance as an Ownership Discipline

Applied the same operating model to AI: decide which workloads get frontier models versus private models, set the access and data-handling rules, train people to use the tools properly, and audit that the rules hold — then adjust when they don't.

Certifications

Industry-recognised qualifications across cloud, networking, and IT infrastructure.

Azure Administrator

Microsoft · AZ-104

Microsoft 365 Fundamentals

Microsoft · MS-900

CCNA

Cisco Certified Network Associate

CompTIA Network+

CompTIA

CompTIA A+

CompTIA

Azure AI Fundamentals (planned)

Microsoft · AI-900 · roadmap TBC 2027

Education

🎓

BSc Computer Science with Software Engineering

City, University of London
2013 – 2015
📖

BTEC (A-Level Equivalent)

Leyton Sixth Form College
2011 – 2013

Open to New Opportunities

I'm actively looking for Infrastructure Manager / IT operations leadership roles in London and remote. If you have a position that could be a good fit, I'd love to hear from you.

📍 Based in Romford, London  ·  Open to London-based & hybrid roles