I am a Security Engineer and Prospective PhD Researcher with 16+ years of experience delivering enterprise IT, cybersecurity, and broadcast infrastructure.
My career spans AI security engineering, adaptive deception, privacy-preserving machine learning, and LLM guardrails, as well as datacenter, networking, and broadcast media systems.
In 2015, I founded the Rabab Cancer Foundation, leading its digital transformation, volunteer scaling, and technical backbone—combining technology with impact-driven social innovation.
📍 Based in Beirut, Lebanon
📧 hassan.elhajj@hotmail.com
- Adaptive Deception & Active Defense in AI Systems
- Privacy-Preserving Machine Learning & Traffic-Analysis-Resistant Anonymity
- LLM/Agent Guardrails & Robustness Evaluation
Beirut, Lebanon | 2014–Present
- Architected & operated 24/7 broadcast + enterprise stack (dual-DC VMware, SAN/NAS, FortiGate HA, HP/Aruba core, playout/streaming chain), achieving 99.95% uptime and 30% faster channel launches.
- Implemented zero-trust architecture and achieved ISO 27001 alignment with no breaches in 5+ years.
- Reduced downtime 40% with predictive monitoring + ITIL processes; integrated LLM tools for incident response, cutting resolution time 20%.
- Scaled core IT for 600+ employees with automation (multi-site AD/GPO, SCCM/WSUS), hitting 95% SLA adherence and cutting patch windows 60%.
Nabatieh, Lebanon | 2015–Present
- Founded and scaled a nonprofit: recruited 300+ volunteers, delivered 50+ awareness/fundraising events, built 50+ partnerships (local & international).
- Architected the full digital stack (site, CRM, donations, automation, analytics) to streamline onboarding and produce impact metrics.
- Designed privacy-first workflows for sensitive health data; ensured secure delivery of cancer drugs valued at thousands of dollars.
Lebanon | 2008–2014
- Deployed and migrated 300+ endpoints (XP→7), automated provisioning, and supported enterprise apps, AV, and networking.
- Managed backups, WSUS patching, NAS shares, license compliance, and vendor coordination; cut onboarding time 40% and restore time 50%.
AI & Security
- Adaptive deception (honeypots, decoys, moving-target defenses)
- Privacy-preserving ML (differential privacy, GAN-based obfuscation)
- LLM/Agent Security (guardrails, canary prompts, output controls)
- SIEM/SOAR (Log360, FortiAnalyzer), incident response
Enterprise IT & Networking
- Microsoft ecosystem: AD/GPO, SCCM, WSUS, PKI, IAM
- ManageEngine: ServiceDesk, OpManager, Log360
- FortiGate (HA, VPN, SD-WAN), HP/Aruba networking, VMware clusters
- SAN/NAS storage, Veeam backups, datacenter build-outs
Broadcast & Media Systems
- Etere, Magicsoft, CasparCG, vMix, DeckLink, Kiloview
- Live production, playout, graphics, encoding (SRT/RTMP, HLS/DASH)
- Adobe CC (Premiere, After Effects, Audition), streaming/CDN delivery
Research & Productivity
- Reproducible notebooks, metrics design, experiment pipelines
- Zotero + Obsidian knowledge management
- AI-augmented research discovery (Consensus, FutureHouse, Storm, NotebookLM, Connected Papers, SciSpace, Research Rabbit)
- MSc Project Management (focus: nonprofit operations & strategy)
- B.Sc Computer Engineering
- Continuous professional development in AI security, ITIL, ISO 27001
- 16+ years of enterprise IT, cybersecurity, and broadcast engineering
- Founder of a cancer nonprofit with measurable social impact
- Active in AI security research (deception, privacy, LLM guardrails)
- Presented & networked at ESMO cancer conferences internationally
✨ Blending enterprise engineering, AI security, and social impact into resilient, future-ready systems.