Research & Publications
Exploring the intersection of enterprise IT operations, artificial intelligence, and cloud security. Building open tools that turn research into real-world impact.
Research Profiles
Google Scholar
Citation index & research metrics
The Bigger Picture
I'm a Senior IT Engineer at SAP with 15+ years in enterprise IT — and I'm now actively transitioning into AI research and engineering. This isn't a side project. I'm working on real research papers, building open-source tools used in production, and building the credentials to back it up.
Most people build one of these: a CV, a portfolio, a GitHub, a personal website, or an ORCID profile. I'm building all of them together — so each one strengthens the next.
ORCID 0009-0005-6754-3864 — registered and active. Every paper I publish will be permanently linked to this ID.
Currently in Literature Review on "Enterprise AI Copilot for IT Operations." Expected Q4 2026. Writing from 15 years of real enterprise experience — not theory.
This website — built entirely by me using Next.js, TypeScript, and Claude AI. It's both a portfolio and a live demonstration of what I build.
Active repos: Enterprise IT Copilot, AI Asset Intelligence Platform, AIOps Research Lab, RAG Security Framework. Real tools, not toy projects.
15+ years at SAP, 13+ certifications including Azure Security & SAP AI Hub, MBA from Buckinghamshire University UK. Every claim is verified.
The goal: Senior AI/ML Engineer or AI Research Engineer role in enterprise tech. This entire ecosystem is built to make that transition undeniable.
This is not a hobby. I publish, build, and ship — and this page is the proof. Every section here represents real work in progress, not aspirations.
Research Interests
Enterprise AI
Core FocusThe foundation of my research identity
Applying large language models and agentic AI to enterprise IT workflows — turning complex operations into intelligent, autonomous systems that augment human decision-making.
AIOps
— Applied arm of Enterprise AIAI-driven IT operations — predictive incident management, automated remediation, and intelligent monitoring pipelines that learn from enterprise environments.
Cloud Security
— Where AI meets risk managementZero Trust architecture, Azure Secure Score optimisation, and AI-assisted threat detection — securing the infrastructure that Enterprise AI runs on.
Generative AI
— The engine powering it allPractical GenAI integration — RAG pipelines, prompt engineering, Claude/GPT tool use, and enterprise AI copilots grounded in real operational data.
“These aren't scattered interests — they tell a coherent story: making enterprise IT smarter, safer, and more autonomous through AI.”
Publications
Publications Coming Soon
Research papers and articles on Enterprise AI, AIOps, and Cloud Security are currently being prepared for submission.
Current Research
Enterprise AI Copilot for IT Operations
Literature ReviewInvestigating how agentic AI systems can autonomously handle L1/L2 IT support tickets, reduce MTTR, and integrate with ServiceNow ITSM workflows.
Human-AI Collaboration Framework
ActiveDeveloping a practical framework for IT teams to integrate AI assistants into daily operations while maintaining human oversight, auditability, and trust.
IT Asset Lifecycle Intelligence
In ProgressUsing ML models to predict asset failure, optimal refresh cycles, and procurement patterns from historical CMDB and ERP data.
Open Source Projects
Enterprise IT Copilot
An agentic AI assistant that connects to ServiceNow, Microsoft 365, and SAP — answering IT queries, raising tickets, and summarising SLA status in natural language.
AI Asset Intelligence Platform
Flask-based IT asset management platform with AI natural language query, predictive lifecycle analytics, Excel sync, and full audit trail — replacing manual Excel tracking.
AIOps Research Lab
Experimental AIOps environment for testing AI-driven incident detection, automated root-cause analysis, and intelligent alert correlation across enterprise IT infrastructure.
RAG Security Framework
Retrieval-Augmented Generation framework for enterprise security teams — indexes threat intel, compliance docs, and runbooks so analysts can query using natural language.
AI Ticket Classifier
Classifies incoming ServiceNow incidents by category, urgency, and assignment group using fine-tuned LLM inference — reduces manual triage time by ~80%.
WhatsApp SLA Monitor
Automated Python daemon that watches ServiceNow SLA breaches and sends instant WhatsApp alerts via Twilio — never miss a P1 incident breach.
Datasets
Enterprise IT Ticket Dataset
Coming SoonAnonymised ServiceNow incident dataset covering 3 years of L1/L2 IT support — categories, resolution times, assignment groups, and SLA outcomes.
IT Asset Lifecycle Records
Coming SoonHardware asset data including procurement, assignment, LPA scan history, and disposal — useful for predictive refresh modelling.
Speaking & Certifications
SAP AI Hub (AIG02)
CertificationSAP Certified — AI Foundation & Generative AI for Enterprise
SAP HANA Python ML
CertificationSAP Certified — Python-based ML on SAP HANA Cloud
Azure Security Engineer Associate
CertificationMicrosoft Certified — AZ-500 Azure Security
CCNA Security
CertificationCisco Certified — Network Security Fundamentals
SAP S/4HANA Technology Consultant
CertificationSAP Certified Application Associate
MBA — Buckinghamshire New University, UK
DegreeMaster of Business Administration
Interested in Collaborating?
Open to research collaborations, co-authoring papers, and contributing to open source projects in Enterprise AI and IT Operations.