Directing high-value enterprise transformation portfolios across advanced telecom and scalable technology — establishing PMO functions, strengthening governance, and delivering measurable growth through disciplined execution. Trusted advisor to C-suite and boards across North America, EMEA, and APAC.
cybersecurity researcher and full-stack developer. Built NexGen — a live, production-deployed Cyber Intelligence Platform. Specializing in AI-driven IDS/IPS using Random Forest Machine Learning Algorithm (99.86% ROSpace / 91.7% TON_IoT), threat intelligence for OT/IoT and autonomous robotic environments (ROS2 UGV).
Portfolio architecture that translates board-level objectives into clear program journeys — ensuring every stakeholder understands the path, risks, and value creation at every stage.
Multi-year roadmaps synchronized with corporate priorities, funding cycles, and capacity planning. Board-level visibility into every major initiative.
Structured executive cadences that turn data into decisions and maintain enterprise momentum across complex organizational structures.
End-to-end visibility into value delivery, connecting initiative performance to financial impact and strategic KPIs.
Proactive risk registers, escalation frameworks, and change control boards that preserve delivery confidence under pressure.
Structured engagement models for C-suite, steering committees, and cross-functional owners — sustaining alignment across the full program lifecycle.
Renowned for rescuing at-risk programs and restoring delivery confidence with decisive governance and rapid intervention strategies.
Introducing advanced analytics, automation, and scenario planning to unlock predictive control — including AI and machine-learning-driven outcome forecasting.
AI and machine learning forecasts anticipate delivery risk and enable proactive interventions before issues escalate to program level.
Skills-based resourcing models ensure high-impact work is staffed with precision — matching capability to strategic priority across the portfolio.
Automated reporting and workflow orchestration reduce manual effort while improving insight quality and decision-making speed.
From turnaround initiatives to digital transformations — anchoring delivery with resilient governance and adaptive controls that compound over time.
Full-spectrum capabilities spanning enterprise PMO governance, cybersecurity operations, machine learning research, and modern software development.
Full-stack, production-deployed cybersecurity platform — live at hassaanalrifai.com/nexgen (Request your demo credentials)
Full-stack Cyber Intelligence Platform — React 18 + FastAPI. Empirically validated ML pipeline using Random Forest as primary supervised model (AUC-ROC 0.974–1.000) with Isolation Forest fallback for unlabeled environments. Real-time alert analysis, threat intelligence lookups, and multi-role authentication.
Applied research in AI-driven intrusion detection for cyber-physical systems, autonomous robotics, and OT/IoT networks.
Unified cybersecurity framework for ROS2-based UGV platforms. Rigorous empirical evaluation of 4 ML approaches. Random Forest (supervised, primary model) achieves 99.89% on ROSpace and 91.7% on TON_IoT — decisively outperforming unsupervised baselines (50–72%). Dual-model: RF for labeled environments, Isolation Forest fallback for zero-day. Aligned with NIST CSF 2.0, IEC 62443 & ISO/IEC 27400.
Lightweight Python-based IDS/IPS using the RT-IoT2022 dataset. Detects multiple attacks types; floods, high-payload exfiltration, and DDoS activity across Control, Field, and Enterprise zones with 15+ visualization types.
Open to research collaborations, consulting engagements, and conversations about AI-driven cybersecurity, CPS security architecture, or enterprise programme management.
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