Hello, I'm
Mohamed Abd-Elhafez
Senior AI & Automation Engineer
Designing and delivering production-grade GenAI systems for enterprise environments. Specialised in RAG architectures, multi-agent pipelines, and cloud-native automation on Azure.
About Me
Senior AI & Automation Engineer at VOIS (Vodafone Intelligent Solutions), building enterprise-grade GenAI systems for European markets on Azure Cloud.
Mohamed Abd-Elhafez is a Senior AI & Automation Engineer at VOIS (Vodafone Intelligent Solutions), leading the design and delivery of enterprise-grade GenAI systems for European markets including the UK, Germany, and Spain. He specialises in building scalable, Python-based AI architectures on Azure Cloud, combining technical depth with a sharp focus on real-world business outcomes.
Mohamed's career began in software engineering before evolving through Robotic Process Automation (RPA) — delivering 50+ UiPath processes and migrating 100+ legacy systems — into advanced Generative AI. Today he architects multi-agent systems using CrewAI and LangChain, builds RAG-based knowledge retrieval platforms, and designs production observability and security layers for GenAI infrastructure on Azure and GCP.
His work directly drives operational efficiency across contact centres, telesales operations, and presales workflows — replacing manual effort with AI pipelines that summarise, evaluate, and act on customer interaction data at scale. He holds an ITIL 4 Foundation certification and applies structured operational thinking alongside technical innovation to ensure that what gets built keeps running reliably.
6+
Enterprise GenAI Solutions Delivered
Across Azure OpenAI, RAG, and multi-agent systems
100+
Legacy Processes Migrated
From RPA infrastructure to modern Azure-native architectures
50+
UiPath Automation Processes
End-to-end RPA delivery for European enterprise markets
2
Cloud Platforms
Azure & GCP — production GenAI and observability systems
Experience
From software engineering through RPA to enterprise GenAI — a progression driven by impact
Senior AI & Automation Engineer
VOIS (Vodafone Intelligent Solutions)
Leading a technical squad delivering cutting-edge GenAI and Automation projects for European markets (UK, Germany, Spain).
- ▹Designed and deployed a RAG-based internal knowledge chatbot using Azure OpenAI and Azure AI Search, significantly accelerating Average Handling Time (AHT) for support agents.
- ▹Engineered autonomous multi-agent workflows using CrewAI and LangChain to interact with customers, query internal tools, and execute resolutions without human intervention.
- ▹Built end-to-end GenAI pipelines on Azure Function Apps to process large-scale customer call data — generating summaries, sentiment scores, and automated quality assessments.
- ▹Designed a real-time AI agent assist system using Azure Speech-to-Text, WebSocket streaming, and Azure OpenAI to support contact centre agents during live calls.
- ▹Led legacy process migration of 100+ workflows to modern Azure-native architectures, increasing execution success rates from 80% to 95%.
- ▹Established an enterprise observability and security alerting layer across Azure Container Apps, Azure Monitor, Application Insights, and Google Cloud Run.
AI & Automation Engineer
VOIS (Vodafone Intelligent Solutions)
Delivered enterprise automation projects and earned recognition as a top technical contributor.
- ▹Delivered six major automation projects including end-to-end development of 50+ UiPath processes.
- ▹Resolved 600+ support tickets, ensuring uninterrupted business operations and high service levels across European markets.
- ▹Recognised as Top Performer (2022–23) and awarded Employee of the 2nd Semester 2022 for technical excellence.
- ▹Maintained high-quality BAU support applying ITIL 4 fundamentals for system stability and rapid incident resolution.
RPA Associate Consultant
Robiquity
Contributed to a critical enterprise infrastructure migration project (part-time).
- ▹Contributed to migrating automation environments from GDC to AWS Cloud (S3, EC2, Lambda), ensuring continuity and stability of enterprise RPA operations.
- ▹Supported cross-functional delivery aligned to client timelines and infrastructure requirements.
Software Engineer
Ultra Diagnostic
Designed and delivered customised software solutions for healthcare clients.
- ▹Designed and implemented tailored software solutions to meet specific healthcare client requirements.
- ▹Managed the full software lifecycle including installation, user training, and L1/L2/L3 support aligned with ITIL standards.
- ▹Served as primary technical point of contact for client escalations and system reliability.
Projects
Enterprise GenAI systems and automation solutions delivered at scale
AI-Powered Knowledge Base Assistant
A GenAI-driven knowledge retrieval system enabling customer support agents to instantly surface contextual answers from structured and unstructured enterprise knowledge sources, reducing Average Handling Time at scale.
Impact: Accelerated agent response accuracy and AHT through retrieval-augmented generation over enterprise knowledge repositories.
Real-Time AI Agent Assist for Contact Centres
A real-time assistive AI system capturing live audio streams, transcribing conversations, and generating contextual insights for contact centre agents during active customer calls via a modular, streaming architecture.
Impact: Enhanced agent productivity and decision quality during live interactions through low-latency AI inference and privacy-compliant audio processing.
Botify – Intelligent RPA Operations Assistant
An AI-powered operations assistant built for enterprise RPA support teams to automate incident handling, service request management, and intelligent ticket triaging. Botify utilizes multi-agent orchestration, retrieval-augmented generation, and Azure AI capabilities to streamline communication between business users and support engineers while minimizing unnecessary escalations and accelerating issue resolution.
Impact: Enhanced RPA operations efficiency by automating ticket classification, improving incident response workflows, enabling AI-assisted troubleshooting, and reducing Average Resolution Time through contextual knowledge retrieval and intelligent multi-agent collaboration.
AI-Powered Call Analysis & Quality Evaluation Platform
An end-to-end GenAI pipeline that transforms raw call recordings into structured, multi-dimensional insights — including summaries, sentiment analysis, quality scores, and commitment tracking — to improve service quality visibility at scale.
Impact: Enabled automated quality assessment of agent interactions across high-volume contact centre operations, reducing manual QA effort significantly.
GenAI-Powered Enterprise Presales Automation Platform
A generative AI solution that automates the creation of High-Level Design (HLD) documents for enterprise presales by leveraging structured inputs and knowledge repositories, enabling faster and more consistent solution delivery.
Impact: Streamlined presales design generation, reducing manual document effort and standardising output quality across enterprise sales cycles.
AI-Driven Telesales Enablement & Insights Platform
A GenAI-powered platform analysing customer interactions across outbound and inbound telesales journeys — generating structured summaries, CRM updates, and real-time performance insights to optimise sales operations.
Impact: Supported scalable telesales optimisation through automated interaction analysis and management-facing reporting dashboards.
Centralized Observability & Security Alerting Platform
A centralized logging, monitoring, and alerting capability for a production-grade enterprise GenAI platform — standardising cross-layer signals and introducing automated detection-and-escalation paths for security incidents across Azure and GCP.
Impact: Closed end-to-end visibility gaps across GenAI service layers and enabled rapid triage and consistent security incident handling at enterprise scale.
⚡ Automation & RPA
Enterprise RPA Delivery — 50+ UiPath Processes
End-to-end design and delivery of 50+ UiPath automation processes for European enterprise markets at VOIS, covering customer operations, back-office workflows, and exception handling.
Impact: Delivered six major automation projects; recognised as Top Performer 2022–23.
Legacy Process Migration — 100+ Workflows
Led the migration of 100+ legacy automation processes to modern Azure-native architectures, restructuring and optimising workflows to meet current reliability and performance standards.
Impact: Increased automation execution success rates from 80% to 95% post-migration.
GDC to AWS Cloud Infrastructure Migration
Contributed to a critical enterprise infrastructure migration at Robiquity, transitioning RPA environments from GDC to AWS Cloud (S3, EC2, Lambda) to ensure operational continuity and scalability.
Impact: Ensured zero-downtime transition of enterprise automation estate to cloud infrastructure.
Skills & Technologies
Technologies, platforms, and methodologies across the AI and automation stack
GenAI & LLMs
Azure AI Services
Cloud — Azure
Cloud — GCP
Programming
Automation
DevOps & Tools
Methodologies
Let's build something together
Open to senior AI engineering roles, enterprise GenAI consulting, and strategic collaboration on Azure-native AI systems.