Summary
Enterprise AI leader specialising in Decision Intelligence at scale — transforming ambiguous, high-stakes business problems into deployable AI systems governing $100B+ in annual decisions. 15+ years of experience across research, engineering, and production AI.
Led development of 30+ production AI systems across aerospace, supply chain, logistics, and manufacturing — including platforms governing $100B+ in annual decisions — with research contributions spanning telecommunications, data centres, and bioinformatics.
Designs modular decision architectures that separate business logic from reasoning engines — combining optimisation, machine learning, and generative AI into coherent platforms aligned with organisational strategy, enabling reuse across domains and accelerating enterprise time-to-value.
Core Competencies
Strategic AI Leadership
Enterprise AI Transformation
Evolve fragmented analytics into integrated Decision Intelligence platforms — enabling scalable adoption, organisational alignment, and enterprise AI literacy
AI Strategy & Roadmapping
Translate ambiguous business priorities into executable AI roadmaps aligned with strategic and operational objectives
End-to-End AI Ownership
Drive full lifecycle delivery — from problem framing and modelling through to production deployment and continuous improvement
Decision Science
Decision Intelligence at Scale
Design optimisation-driven decision systems governing high-value, high-complexity operational decisions
Systems Architecture
Architect modular, reusable decision platforms that decouple business logic from reasoning engines, enabling rapid enterprise deployment
Risk & Uncertainty Modelling
Incorporate stochastic optimisation and scenario analysis to manage uncertainty and improve resilience of critical decisions
Advanced Technology
Generative AI for Decision Workflows
Enable conversational decision analytics, structured reasoning, and AI-assisted root cause analysis
Explainable AI (XAI)
Develop transparent and interpretable AI systems supporting trust and governance for high-stakes environments
Hybrid AI Systems
Design integrated architectures combining optimisation, machine learning, and generative AI to solve complex enterprise decision problems
Industries
Design: Aerospace · Telecommunications · Bioinformatics
Operations: Supply Chain · Logistics · Manufacturing · Data Centres AI Paradigm Predictive · Prescriptive · Generative — 30+ deployed AI systems
Operations: Supply Chain · Logistics · Manufacturing · Data Centres AI Paradigm Predictive · Prescriptive · Generative — 30+ deployed AI systems
Professional Experience
Apple International Operations
2021 – 2026
AI & Decision Science Leader
Cork, Ireland
- $100B+ Built AI decision systems supporting $100B+ in annual decisions across Apple's global supply chain, logistics, and fulfilment networks.
- Recruited, built, and led a high-performance Decision Science team; established business-driven modelling practices and solver-agnostic libraries to accelerate enterprise time-to-value.
- 95%+ reduction Engineered decision optimisation systems that compressed critical planning cycles from 1–3 days to 10–60 minutes.
- Designed and piloted modular AI decision tools for EMEIA Reseller Operations and Inbound Logistics, enabling rapid vertical reuse and scaling to AMR and PAC regions.
- Partnered with Finance, Sales, Logistics, Retail, and Product Operations to embed decision optimisation and ML across strategic, tactical, and operational layers.
- Owned end-to-end AI strategy — decoded ambiguous business priorities into high-fidelity technical roadmaps for planning, fulfilment, and execution workflows.
Apple International Operations
2020 – 2021
Principal Decision Scientist
Cork, Ireland
- $20–22M Developed a sourcing optimisation engine for finance, logistics, and procurement realising $20M–$22M in recurring annual savings.
- Delivered production-grade decision science solutions for assortment planning, delivery scheduling, risk detection, and lead-time forecasting.
- Improved decision accuracy by 10% through ML models; integrated generative root cause analysis (Gen-RCA) to automate identification of inefficiencies in human decision chains.
Huawei Research Centre
2020
Principal Research Engineer
Paris, France
- Led applied research on AI-driven optimisation for compiler technology targeting next-generation processor architectures.
- Developed advanced decision optimisation models for complex resource allocation in compiler optimisation pipelines.
Raytheon Technologies (UTRC)
2016 – 2019
Staff Research Scientist
Cork, Ireland
- Directed development of Architecture and Topology Exploration Engines for next-generation aerospace system design, enabling high-fidelity trade-off analysis.
- Led novel Explainable AI (XAI) technology for insider threat detection and IoT security — multiple successful deliveries for high-stakes security applications.
- Developed ML solutions for attack detection on physical systems and fault detection in smart manufacturing using surrogate models.
- Served as Principal Investigator on EU Horizon projects: GENiC (energy-optimised data centres) and BOOST 4.0 (AI and big data in smart manufacturing).
Insight Centre for Data Analytics, UCC
2011 – 2016
Research Support Officer
Cork, Ireland
- Led AI and decision optimisation research for EU FP7 projects GENiC and DISCUS (ultra-high-bandwidth networks).
- Principal Investigator on the Ulysses project — scalable combinatorial optimisation for pattern discovery in protein families.
- Designed ML-based methodologies for improving efficiency of constraint solvers; supervised PhD and postdoctoral researchers.
Cork Constraint Computation Centre
2007 – 2014
Senior Research Scientist / Post-Doctoral Research Scientist
Cork, Ireland
- Led combinatorial optimisation research within the CTVR project on next-generation optical and wireless Internet networks.
- Developed optimisation models for network layout, facility location, routing, and wavelength assignment in passive optical networks (PONs).
- Conducted research on personalisation of context-aware telecommunication services, funded by IRCSET and British Telecommunications (BT).
Education
PhD, Artificial Intelligence (Constraint Programming)
University College Cork
2009
Thesis: Augmenting the Efficiency of Arc Consistency Algorithms
Leading Digital & AI Transformation (Executive Programme)
IMD Business School
2025
MSc, Computing — First Class Honours
Griffith College Dublin
2003
Bachelor of Engineering, Computer Science
Gogte Institute of Technology, India
2001
Professional Activities
- Designed, published, and actively maintain the GenAI Knowledge MindMap — a free, interactive map of the full GenAI landscape for technical and business audiences.
- Regular LinkedIn contributor focused on Technical Roadmaps, Decision Science, and the evolution of Enterprise AI Transformation.
- Societal Champion (SFI Digital for Resilience) for the Deep Learning-based Transferable Supply Chain Stress Test project funded by SFI, Ireland (2025).
- Regular Guest Speaker — AI-enabled Decision Making: From Reasoning to Learning, Munster Technology University (2022, 2024, 2025).
- Keynote Speaker at GLOWGIFT 24 — "The Future of AI", Indian Institute of Management Bodh Gaya, April 2024.
- Management Committee Member (represented Ireland) — COST Action CA15127: Resilient Communication Services, 2016–2020.
- Co-Supervisor (with Prof. Barry O'Sullivan) for MSc and PhD students, University College Cork.
- Technical Programme Committee Member — AAAI, IJCAI, ICTAI, CP, ECAI and 15+ international AI conferences (2013–2026).
Awards & Honours
Competition Awards
- 1st Place — Constraint Programming Solver Competition (binary category), CP 2005, Spain
- 1st Runner-up — Google-ROADEF/EURO Challenge on Machine Reassignment Problem, 2012
- Ranked 13th/356 — Travelling Salesman Problem (Kaggle, 150,000 cities)
- Best Application Paper Award — "Bin Packing with Linear Usage Costs", CP 2013, Sweden
Industry & Research Awards
- Constraint Programming Technical Leadership Award — UTRC, 2019
- Outstanding Technical Leadership Award — UTRC, 2019
- Outstanding Leadership Award — GENiC project, UTRC, 2017
- Advancement of Science & Technology Award — UTRC, 2017
- Short Term Scientific Mission Award — KTH Royal Institute of Technology, 2018
- Ulysses Research Award — scalable AI methods for protein family pattern discovery
- Enterprise Ireland Travel Grant — Innovate, Connect and Transform, Lisbon, 2015
Research & Intellectual Property
70+Peer-reviewed publications
4Book chapters
2Patents
15+Conference committees
Spanning AI, combinatorial decision optimisation, machine learning, telecommunications, data centres, cyber-physical security, and smart manufacturing.
Selected Patents
Feature-based Service Configuration — co-inventor; assignee: British Telecommunications PLC (US20110019594 A1)
Cyber Security Framework for Internet-connected Embedded Devices — co-inventor; applicant: Carrier Corporation (US2019/02590A1)