frareh

Applied Ai Engineer

Applied AI Engineer candidate and systems architect bridging 8+ years of enterprise infrastructure governance with Python-based AI automation. Specialising in building reliable multi-agent systems, designing autonomous workflows, and applying rigorous Root Cause Analysis (RCA) to AI and Web3 infrastructure. Proven track record of managing complex incident lifecycles, driving Continuous Service Improvement (CSI), and modelling stakeholder workflows across large-scale environments. Actively building production-grade AI agents and automation pipelines — including on-chain intelligence tools, agentic content systems, and AI-augmented compliance programmes. Currently focused on architecting scalable AI-integrated operations, LLM deployments, and decentralized protocol logic.


Experience: 1 year

Yearly salary: $62,000

Hourly rate: $30

Nationality: 🇬🇧 United Kingdom

Residency: 🇬🇧 United Kingdom


Experience

Service Management Analyst
Allied Universal (formerly G4S) — Ministry of Justice
2022 - 2025
Owned end-to-end major incident lifecycle for P1/P2 events: triage, technical team coordination, real-time stakeholder communication, and post-incident review (PIR) — consistently achieving SLA targets across critical service lines. Led structured problem management investigations using formal RCA methodology; maintained known error records and drove remediation ownership to prevent recurring service failures. Drove Continuous Service Improvement (CSI): identified systemic gaps in incident classification, ticket ownership, and reporting data quality — redesigning workflows that measurably increased director-level confidence in operational metrics. Built and presented monthly MI reports covering incident volumes, problem trends, uptime, and service performance to IT directors and senior stakeholders. Hosted weekly service delivery governance meetings with IT directors, service desk, and facilities teams to review KPI performance, surface service risks, and track improvement actions. Coordinated vendor and third-party escalations during major incidents, maintaining service continuity across internal and external stakeholders simultaneously. Facilitated CAB processes — assessing RFCs for risk, impact, and scheduling conflicts, and representing the service management function in global change forums.
Senior Service Desk Analyst
G4S — Ministry of Justice
2020 - 2022
Held line management responsibility for 2 direct reports — performance oversight, workload allocation, and professional development; one progressed directly into a senior analyst role following sustained mentorship. Designed and delivered structured onboarding and training programmes aligned to ITIL best practice, reducing time-to-productivity for new analysts. Acted as operational bridge between frontline analysts and service management leadership, representing team performance in service governance meetings. Primary technical escalation point for complex incidents; led cross-team troubleshooting under pressure to resolve high-impact issues within SLA. Ran daily stand-ups to align team on priorities, SLA status, and live incident queues; contributed to problem record investigations by identifying recurring incident patterns.
Service Desk Analyst
G4S — Ministry of Justice
2018 - 2020
Delivered first and second-line support for a large enterprise user base, managing high-volume incident and service request queues within SLA targets. Triaged, categorised, and prioritised incidents in line with ITIL best practice; escalated complex issues to resolver groups with accurate, detailed records. Contributed to knowledge base maintenance by documenting resolutions and workarounds, improving first-contact resolution (FCR) rates. Supported onboarding and offboarding processes including account provisioning, device setup, and access management.

Skills

blockchain
crypto
customer-success
customer-support
defi
ai
english