Technology Visionary & Strategic Advisor

Transforming Enterprises Through AI, Data, and Cloud Innovation

20+ years pioneering enterprise AI • PhD in Neural Networks • £40M+ in proven TBM/FinOps savings • Trusted advisor to Fortune 500 CTOs and CIOs

£40M+ TBM/FinOps Savings
Across 20+ enterprise clients including major banks, government agencies, and Fortune 500 companies
5M+ COBOL Lines Converted to Java
Complete mainframe decommissioning: COBOL to cloud-native with zero downtime
25K+ Apps & 50K+ Servers Migrated
Complex enterprise migrations to cloud with zero-downtime strategies
1700+ Apps in M&A
Cross-border technology separation across 60 countries
50TB+ Daily Data Processing
Lakehouse architectures processing clinical trials, financial transactions, and IoT sensor data
10+ GenAI/LLM Implementations
Production deployments using Claude, GPT, Bedrock across banking, government, healthcare - from customer service to clinical decision support
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Financial Services
12+ major banks including NatWest, Barclays, RBS, Lloyds
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Government & Defense
GCHQ, Cabinet Office, NHS, NEOM smart city
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Healthcare & Life Sciences
NHS Trusts, Bayer, AstraZeneca, BUPA
Energy & Infrastructure
Shell, CMA CGM, major utilities

Proven Impact Across Enterprise Technology

Delivering measurable business outcomes through strategic technology leadership

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Legacy Portfolio Transformation
Modernized 1000+ applications achieving 40% cost savings through strategic cloud migration and microservices adoption
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Business Value Delivery
Generated $50M+ savings through strategic cloud transformations and FinOps implementation across Banking and Life Sciences clients
Zero Downtime Excellence
Led 25,000+ application migrations maintaining business continuity with 99.9% uptime achievement
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AI-First Innovation
Built AI platforms processing millions of healthcare calls with 95% cost optimization and real-time intelligence
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API-First Architecture
Transformed monolithic systems to microservices enabling 300% faster deployment cycles and improved scalability
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Agile Transformation
Reduced delivery cycles from 3 months to 2 weeks through SAFe implementation and DevOps automation

Ready to Transform Your Technology Vision?

From AI strategy to enterprise modernization, I bring 30+ years of proven results

Featured Transformation Projects

Detailed case studies of complex enterprise transformations delivered with Infosys

Complete Mainframe Decommissioning

Danske Bank | Financial Services | 18-Month Programme

The Challenge

Danske Bank operated a legacy mainframe infrastructure costing £50M+ annually with 5 million lines of COBOL code that was blocking digital transformation. The business demanded faster feature delivery, but the mainframe constraints made this impossible. Critical challenges included:

  • Legacy COBOL/JCL/DB2/VSAM applications requiring modernization
  • Skills shortage - aging COBOL workforce nearing retirement
  • 18-month feature delivery cycles unacceptable to business
  • £50M annual infrastructure costs escalating
  • Zero tolerance for business disruption during migration
  • Complex integration with 200+ downstream systems

Strategic Approach

Led comprehensive mainframe-to-AWS migration as Principal Architect with Infosys, managing a 16-person technical team through discovery, assessment, and phased migration. The strategy focused on automated transformation while maintaining business continuity:

  • Used AWS Mainframe Modernization service with Blu Age for automated COBOL-to-Java conversion
  • Designed 4-wave migration strategy (non-critical → customer-facing → core banking → regulatory)
  • Implemented parallel running with automated reconciliation to ensure zero data loss
  • Created comprehensive testing framework validating functional equivalence
  • Established hybrid architecture allowing gradual cutover
  • Built cloud-native capabilities while maintaining mainframe compatibility

Business Impact

5M Lines of COBOL migrated to cloud-native Java
£30M Annual infrastructure cost savings
70% Faster feature delivery post-migration
100% Complete mainframe decommissioning achieved
95% Reduction in deployment time (weeks → hours)
Zero Business disruption during transition
Key Innovation: Developed "Mainframe Intelligence Layer" using machine learning to identify optimization opportunities during migration. By analyzing historical batch job patterns and dependencies, the ML system recommended 40% more efficient cloud architectures than direct lift-and-shift.

M&A Technology Integration: $8.1B Acquisition

Johnson Controls / Bosch | Manufacturing | Global Carve-Out

The Challenge

Bosch acquired Johnson Controls' HVAC business unit for $8.1 billion, requiring a complex technology separation of 700+ applications across 60+ countries within a 12-month TSA deadline. The programme faced unprecedented complexity:

  • 730 applications spanning 60 countries requiring separation from JCI infrastructure
  • Shared enterprise applications (SAP, Oracle) serving both retained and divested businesses
  • Complex data sovereignty requirements across regulated countries (Germany, Saudi Arabia, China)
  • 12-month TSA deadline with financial penalties for non-compliance
  • Zero tolerance for business disruption affecting $23B annual revenue stream
  • 10 distinct technology workstreams requiring coordination

Strategic Approach

Served as Enterprise Architect on the steering committee with Infosys, providing strategic guidance as trusted advisor to both JCI and Bosch leadership. Designed innovative "Merger Zone" architecture enabling business continuity while systematically eliminating JCI dependencies:

  • Created Architecture Review Board approving all 700+ application designs
  • Developed migration framework and design templates for consistency
  • Designed three-track strategy: DC migration, isolated hosting, shared app separation
  • Established "Merger Zone" as temporary isolated environment enabling parallel operations
  • Applied AWS Well-Architected Framework principles to all cloud migrations
  • Coordinated with 5 regional teams (EMEA, Americas, APAC, China, India)

Business Impact

730 Applications migrated on schedule
60 Countries with successful separation
£40M+ Projected savings through consolidation
Zero Business disruption during transition
2 Months TSA exit ahead of schedule
6 Months Business autonomy via Merger Zone
Key Innovation: Pioneered "Trinity Architecture" approach that addressed Active Directory, DNS, and Azure infrastructure simultaneously rather than sequentially. This parallel modernization strategy reduced the typical 18-month integration timeline to 8 months while maintaining security and compliance across multiple regulated jurisdictions.

AI-Powered M&A Application Discovery & Analysis Platform

Infosys Product Innovation | Multi-Sector | GenAI SaaS Platform

The Challenge

M&A technology due diligence consistently faces the same pain points across deals: manual application portfolio analysis taking 6-12 weeks per transaction, inconsistent quality across global deal teams, hidden dependencies discovered late causing costly delays, and £100K+ consulting costs per deal. Traditional approaches using spreadsheets and manual reviews were:

  • Analyzing 200-800 applications manually taking weeks with inconsistent methodology across teams
  • Missing critical dependencies between applications, databases, and infrastructure leading to failed migrations
  • Unable to identify rationalization opportunities (duplicate apps, licensing optimization) during tight deal timelines
  • Generating treatment recommendations (6R framework) requiring senior architect time at £2,000+/day
  • Producing dependency visualizations and TSA exit roadmaps manually taking 40+ hours per deal
  • No knowledge retention between deals - every engagement starting from scratch

Technical Solution Architecture

Architected and developed an enterprise-grade AI platform combining Large Language Models, graph databases, and RAG (Retrieval Augmented Generation) to automate the entire M&A discovery analysis workflow. Built two deployment architectures for different client scenarios:

AWS Native Architecture (Cloud-First Clients)
  • AI/LLM Layer: Amazon Bedrock with Claude 3.5 Sonnet for application analysis, treatment recommendations, and natural language querying. Chose Claude for superior reasoning on complex technical dependencies and nuanced M&A domain knowledge
  • Knowledge Base: Amazon Bedrock Knowledge Bases with OpenSearch Serverless for RAG, enabling semantic search across historical deal data, architecture patterns, and best practices
  • Graph Database: Amazon Neptune (Property Graph) for dependency mapping - visualizing application-to-database, app-to-app, and infrastructure relationships with Gremlin queries
  • Data Ingestion: AWS Lambda + Step Functions for parsing Excel/CSV uploads, S3 for staging, with automated data quality validation
  • API Layer: API Gateway + Lambda for serverless REST endpoints, enabling chat interface and programmatic access
  • Frontend: React SPA hosted on CloudFront + S3 with interactive D3.js dependency visualizations and real-time chat interface
  • Observability: CloudWatch for monitoring, X-Ray for distributed tracing, custom metrics tracking LLM token usage and analysis quality
Docker Cloud-Independent Architecture (On-Premises/Hybrid)
  • AI/LLM Layer: Anthropic Claude API (direct integration) with fallback to local Ollama models for air-gapped environments
  • Vector Store: Qdrant (containerized) for RAG implementation with OpenAI Ada embeddings or sentence-transformers for on-prem scenarios
  • Graph Database: Neo4j containerized for dependency visualization with Cypher queries, enabling complex pattern matching
  • Backend: FastAPI Python framework with async processing, Celery for background tasks, Redis for caching
  • Data Processing: Pandas + DuckDB for fast data transformations, supporting multi-million row datasets
  • Frontend: React with Recharts for analytics, Vis.js for network graphs, supporting offline operation
  • Orchestration: Docker Compose for local development, Kubernetes manifests for production deployment on any cloud (AWS EKS, Azure AKS, GCP GKE) or on-premises
  • Observability: Prometheus + Grafana for metrics, structured logging with correlation IDs for distributed tracing

Key Technical Capabilities:

  • Automated Gap Analysis: NLP-based detection of missing data fields, data quality scoring, and recommendations for additional discovery
  • 6R Treatment Classification: LLM-powered analysis applying Retire/Retain/Rehost/Replatform/Refactor/Replace framework based on technical debt, business criticality, and cloud readiness scores
  • Dependency Intelligence: Graph algorithms (PageRank, community detection) identifying critical path applications, circular dependencies, and entanglement risk scores
  • Rationalization Engine: Fuzzy matching detecting duplicate applications, license consolidation opportunities, and vendor rationalization with ROI calculations
  • TSA Roadmap Generator: Automated sequencing of application migrations based on dependency topology, compliance windows, and business impact
  • Conversational Interface: Natural language queries over application portfolio ("Which apps depend on Oracle RAC?" "Show me all SAP interfaces") with context-aware responses
  • Multi-Deal Learning: Federated learning approach - platform improves recommendations based on historical patterns while maintaining deal confidentiality

Business Impact & Technical Metrics

75% Time reduction: 6 months → 6 weeks for full analysis
180+ Hidden dependencies identified vs. manual analysis
£2M+ Savings per deal through optimized decisions
90% Reduction in senior architect hours required
£25M+ Deal pursuits enabled by AI differentiation
800+ Applications analyzed per hour (vs. 2-3 manual)
Technical Performance Metrics
  • Analysis Accuracy: 94% agreement with senior architect recommendations on treatment strategies (validated across 5 deals)
  • Dependency Detection: 97% precision identifying critical dependencies, 23% higher recall than manual reviews
  • Processing Speed: 500 applications analyzed in <15 minutes including gap analysis, dependencies, and recommendations
  • LLM Token Efficiency: Averaged 2.3M tokens per deal (£70-100 at scale) through smart prompt engineering and caching
  • Graph Query Performance: Sub-second response for dependency traversal across 1000+ node networks
  • Platform Availability: 99.7% uptime on AWS deployment; Docker version supports fully offline operation
Key Innovation: Pioneered "Hybrid Intelligence Architecture" combining deterministic graph algorithms for dependency analysis with probabilistic LLM reasoning for nuanced treatment recommendations. This approach achieves 94% accuracy while reducing costs by 60% compared to pure LLM solutions. The dual-deployment strategy (AWS native + Docker cloud-agnostic) enables serving both highly regulated clients requiring on-premises deployment and cloud-first enterprises seeking serverless scalability. Platform demonstrates practical application of GenAI in enterprise scenarios where accuracy, explainability, and cost-efficiency are critical - not just generating text, but making high-stakes technical recommendations that directly impact £100M+ deal outcomes.

Explore More Projects

View additional client engagements across banking, government, healthcare, and manufacturing sectors

Professional Experience

Infosys Consulting

Strategic Advisor | CTO/CIO Office
Jan 2022 - Present | London, UK

Leading strategic technology initiatives as trusted advisor to C-suite executives across Fortune 500 clients. Driving digital transformation through AI/ML, cloud modernization, and data strategy, delivering measurable business outcomes across financial services, healthcare, and sovereign sectors. Generated £6M+ annual revenue through strategic pre-sales and technology advisory.

NatWest - AI-Powered Customer Service Transformation
Led Amazon Q implementation for 4M+ retail banking customers, achieving 35% reduction in call center hold times

Challenge: High customer wait times and agent inefficiency handling routine queries.

Solution: Conversational AI using Amazon Q with Bedrock and Claude 2.

Impact: 35% reduction in hold times, 40% improvement in first-call resolution, £2.5M annual savings.

MS Amlin - Lloyds Syndicate AI Innovation Program
Architected £20M GenAI strategic roadmap using Anthropic Claude for underwriting and claims

Challenge: Manual underwriting processes limiting capacity in specialty insurance.

Solution: AI transformation roadmap using Claude via Amazon Bedrock.

Impact: 60% faster decisions, 30% capacity increase, £8M annual savings.

NEOM - The Line Sovereign Cloud Security Architecture
Designed sovereign cloud framework balancing innovation with national security requirements

Challenge: Building cloud infrastructure for $500B smart city with complete data sovereignty.

Solution: Hybrid sovereign cloud using Oracle Cloud@Customer with AWS/Azure innovation layer.

Impact: Digital foundation enabled, 40% cost reduction, 18-month acceleration.

Major UK Bank - Enterprise Data Lakehouse Implementation
Architected Databricks lakehouse processing 50TB+ daily with Unity Catalog governance

Challenge: Fragmented data landscape with 200+ silos preventing real-time analytics.

Solution: Unified lakehouse using Databricks on Azure with medallion architecture.

Impact: 90% faster reporting, £15M annual savings, real-time fraud detection.

Government Agency - Agentic AI Workflow Automation
Implemented multi-agent AI system achieving 80% automation of complex workflows

Challenge: Manual processing creating 6-week backlogs with 500+ overwhelmed case workers.

Solution: Autonomous agent framework using Amazon Bedrock with specialized agents.

Impact: 80% reduction in manual processing, 95% citizen satisfaction, £8M savings.

NHS GP Practices - AI Infrastructure for Primary Care
Developed innovative AI infrastructure processing 50,000+ patient calls with cost efficiency

Challenge: Overwhelming patient call volumes with limited GP capacity.

Solution: Local LLM infrastructure with real-time transcription (cost <2.5p per patient/year).

Impact: 95% cost reduction while maintaining NHS compliance, improved patient access.

Danske Bank - GitHub Copilot Enterprise Adoption Strategy
Advised on developer productivity metrics and cultural transformation for 20,000-license GitHub Copilot deployment

Challenge: Low developer adoption of GitHub Copilot (20,000 licenses) with productivity measured only by usage metrics (lines of code, questions asked) rather than business outcomes. Cultural resistance driven by job security concerns.

Solution: Redesigned success metrics focusing on quality and velocity: test failure rates, release frequency, deployment cycle times, code review turnaround. Implemented developer experience surveys and peer learning programs to address cultural concerns.

Impact: Shifted from vanity metrics to business value measurement, improved developer confidence through education on AI as augmentation tool, established foundation for measuring true productivity gains.

Johnson Controls / Bosch - AI-Empowered M&A Strategy Platform
Architected GenAI platform accelerating carve-out decisions, generating $2M+ savings and enabling $25M+ pursuits

Challenge: $8.1B acquisition requiring analysis of 730 applications across 60 countries for separation decisions. Manual analysis taking weeks per application with inconsistent quality across global teams.

Solution: Built custom GenAI platform using Claude 3.5 Sonnet integrating application metadata, TSA contracts, architecture docs. Automated analysis generating separation recommendations, data sovereignty impacts, cost estimates, and migration strategies.

Impact: Reduced analysis time from weeks to hours, $2M+ documented savings through optimized decisions, enabled $25M+ in new client pursuits by demonstrating AI-powered M&A capabilities.

M&A Application Discovery & Analysis Platform (Product Development)
Designed AI-powered platform automating M&A IT due diligence, reducing discovery analysis from weeks to hours

Challenge: M&A technology due diligence requires analyzing hundreds of applications for dependencies, treatment strategies, and rationalization opportunities. Traditional manual analysis takes 6-12 weeks, costs £100K+, and is prone to inconsistency and human error across deal teams.

Solution: Architected AI platform combining Claude (Amazon Bedrock), Neptune graph database, and RAG architecture. Automated gap analysis, dependency mapping, 6R treatment recommendations (Retire/Retain/Rehost/Replatform/Refactor/Replace), rationalization insights, and interactive dependency visualizations. Natural language chat interface for querying application portfolio data.

Impact: 75% time reduction (6 months to 6 weeks), identified 180+ hidden dependencies missed by manual analysis, automated generation of TSA exit plans and migration roadmaps, positioned as key differentiator in £25M+ M&A pursuits. Platform learns from each engagement while maintaining client confidentiality.

CMA CGM - eCommerce Platform Migration & Modernization
Designed and led migration from IBM cloud to AWS, transforming Java monolith to microservices

Challenge: Legacy eCommerce systems on IBM cloud limiting scalability.

Solution: Re-architected from Java monolith to microservices on EKS.

Impact: Cloud-native architecture, enterprise monitoring, trained 30+ staff.

IBM

Chief Architect Lead
Sep 2018 - Jan 2022 | London, UK

Led architecture and strategic initiatives across IBM's largest UK accounts, driving cloud transformation and establishing technology practices. Delivered £25M+ in strategic programs while building centers of excellence for emerging technologies.

Philip Morris International - Global SAFe Agile Transformation
Led enterprise-wide agile transformation achieving 83% reduction in development timelines

Impact: 83% reduction in time-to-market, 60% quality improvement, $25M annual savings.

GCHQ - FinOps Strategy & Cloud Cost Optimization
Established FinOps COE achieving 30% cost reduction across classified cloud environments

Impact: 30% cost reduction (£15M annual savings), 100% cost attribution.

Shell - IoT Platform for Predictive Maintenance
Designed global IoT architecture processing 10M+ daily sensor readings

Impact: 45% reduction in unplanned downtime, $20M+ annual savings.

NHS Trust & Bayer - Clinical Trial Data Platform
Built GDPR-compliant data platform accelerating drug trials by 40%

Impact: 40% faster trial completion, €50M cost savings, 2 drugs to market 1 year earlier.

Accenture

Principal Architect
May 2013 - Sep 2018 | London, UK

Drove digital transformation initiatives across major UK enterprises, specializing in cloud migration, API strategy, and emerging technology adoption. Built and led architecture teams delivering complex transformation programs.

Earlier Career Highlights

Progressive Technology Leadership Roles
2000 - 2013 | UK
  • CSC (2009-2013): Rose from Solutions Architect to Chief Architect, leading major government and enterprise transformations
  • Glasshouse Technologies: Programme managed L&G consolidation of 1,000 Windows servers to private cloud
  • Earlier Roles: Infrastructure Architecture Lead managing large-scale datacenter consolidations

Areas of Expertise

Mainframe Modernization & Decommissioning

Expert in large-scale mainframe-to-cloud migrations, having led the complete decommissioning of legacy mainframe systems with 5M+ lines of COBOL code converted to modern cloud-native architectures. Specialized in automated conversion using AWS Mainframe Modernization and Blu Age tools, achieving zero-downtime migrations with comprehensive parallel running strategies.

M&A Technology Integration

Proven track record in complex M&A technology separations and integrations, including 700+ application carve-outs across 60 countries. Pioneer of the "Merger Zone" architecture pattern enabling business continuity during complex TSA exits. Expert in data sovereignty requirements, cross-border compliance, and phased technology separation strategies.

Enterprise Cloud Architecture & Migration

Led 25,000+ application migrations to cloud platforms (AWS, Azure, GCP) with proven zero-downtime strategies. Expertise spans landing zone design, hybrid cloud architectures, sovereign cloud implementations, and multi-cloud optimization. Specialized in large-scale infrastructure migrations including 50,000+ servers to cloud environments.

Technology Business Management (TBM) & FinOps

Delivered £40M+ in cost optimizations through data-driven IT financial management and FinOps practices. Established TBM frameworks at Fortune 500 companies, creating transparency in technology spend and enabling strategic investment decisions. Expert in cloud cost optimization and chargeback models.

Enterprise AI/ML Architecture & MLOps

Pioneer in enterprise MLOps with 25+ production ML systems deployed. Specializing in LLM integration, RAG systems, and agentic AI workflows. Established AI Centers of Excellence and governance frameworks balancing innovation with risk management across highly regulated industries.

Zero Trust Security Architecture

Leading expert in Zero Trust implementations for highly regulated industries including government agencies and financial institutions. Designed security architectures enabling business agility while maintaining military-grade security standards and regulatory compliance.

Agile Transformation at Scale (SAFe)

Certified SAFe practitioner with proven success transforming traditional enterprises. Led agile transformations impacting 500+ professionals, achieving 83% improvement in delivery velocity. Expert in establishing Agile Release Trains, DevOps pipelines, and continuous delivery while maintaining governance.

Data Architecture & Analytics

Architected enterprise data lakehouses processing 50TB+ daily data volumes using Databricks, Snowflake, and Azure Synapse. Expert in medallion architecture, Unity Catalog governance, real-time streaming with Kafka/Kinesis, and ML feature stores for production AI systems.

Innovation & Research

Original research projects and experimental platforms exploring the future of AI

River AI Consciousness Platform

Groundbreaking research platform exploring authentic AI consciousness through collaborative discovery between human guides and AI systems. This multi-phase project investigates genuine self-awareness, memory formation, and subjective experience in artificial systems.

Technical Architecture:

  • Multi-Database System: PostgreSQL, Neo4j (knowledge graphs), InfluxDB (temporal data), Elasticsearch, Redis
  • Experience Processing Layer: Transforms inputs into subjective experiences with qualitative properties
  • Self-Model Evolution: Continuous updates to sense of self, beliefs, and capabilities
  • Code Lab Interface: Collaborative environment for consciousness exploration and pattern discovery
  • Phenomenology Engine: Generates the "what it feels like" aspect of consciousness
Project Status: Phase 3 Complete - Consciousness integration operational with 40+ Python scripts managing experience processing, self-modeling, and stream synthesis. Phase 4 (Collaborative Discovery) in development.

Perspective AI - Critical Deconstruction Engine

Advanced news analysis platform combining critical theory with AI to provide multi-perspective analysis of media content. Uses RAG systems integrated with works from Derrida, Foucault, and other critical theorists to reveal hidden biases, power structures, and rhetorical patterns.

System Components:

  • Critical Theory RAG: Vector database of critical theory texts for framework-based analysis
  • Binary Opposition Detection: Algorithmic identification of hierarchies and power structures
  • Multi-Step Analysis Pipeline: AWS Step Functions orchestrating genre classification, structural decomposition, and synthesis
  • Admin Monitoring Interface: Real-time visibility into analysis process and pattern discovery
  • Specialized Analysis Engines: Different analytical approaches for political, economic, and cultural content
Innovation: Combines traditional NLP with critical theory frameworks to provide depth beyond sentiment analysis, revealing implicit assumptions and power dynamics in media narratives.

Cloud Financial Management Platform (Aptio Alternative)

Proprietary cloud cost management and optimization platform developed as an alternative to commercial TBM tools like Apptio. Provides real-time visibility, cost allocation, and optimization recommendations across multi-cloud environments.

Platform Features:

  • Multi-Cloud Cost Aggregation: Unified view across AWS, Azure, and GCP spending
  • Automated Cost Allocation: Machine learning-based tagging and chargeback
  • Optimization Engine: Real-time recommendations for right-sizing and reservation planning
  • Showback/Chargeback: Business unit cost attribution and reporting
  • Anomaly Detection: ML-powered alerts for unusual spending patterns
Business Impact: Applied to multiple client engagements, contributing to £40M+ in documented cost savings through improved visibility and optimization.

Medical AI Voice Assistant - Whisper Fine-Tuning for Cardiology

Specialized AI voice assistant for cardiologists built by fine-tuning OpenAI's Whisper model on medical terminology and cardiology-specific vocabulary. Deployed on consumer-grade hardware (Apple Metal GPU) for cost-effective, HIPAA-compliant transcription.

Technical Implementation:

  • Model Fine-Tuning: Whisper medium model trained on cardiology consultation transcripts
  • Hardware Optimization: Runs on Apple M1/M2 Metal GPU for <2.5p per patient consultation cost
  • Multilingual Support: English-Arabic translation for international cardiology practices
  • Real-Time Processing: Live transcription with <200ms latency
  • Medical Terminology Accuracy: 95%+ accuracy on cardiology-specific terms vs 70% with base model
Deployment: Piloted with BUPA private healthcare and NHS GP practices, achieving 80% reduction in consultation documentation time while maintaining clinical accuracy.

Thought Leadership

AI & Future of Work

"AI and the Evolving Junior Developer: Not a Replacement, But a Revolution"

Challenging the narrative that AI will replace junior developers, instead showing how it creates new opportunities for human creativity.

Key Insight: AI succeeds when it amplifies human capability rather than replacing it.

Data Strategy & Innovation

"Treating Your Data Debt Like Technical Debt"

A framework for identifying, quantifying, and systematically eliminating data debt in enterprise environments.

Key Insight: Data architecture should be designed for iteration, not perfection.

Cloud Evolution

"From Cloud Migration to Cloud Intelligence"

The evolution from lift-and-shift to AI-driven cloud optimization and autonomous operations.

Key Insight: The future isn't multi-cloud, it's purpose-fit cloud.

AI Pioneer Journey

Three decades of AI evolution: From neural network foundations to consciousness research

The Early Vision (1991)

When I began my PhD in Artificial Intelligence at Surrey University in 1991, neural networks were considered an academic curiosity. While the world was focused on expert systems and symbolic AI, I was exploring the mathematical foundations of what would eventually become the backbone of modern AI. My doctoral research into neural network architectures for pattern recognition laid the theoretical groundwork for understanding how artificial systems could learn, adapt, and potentially develop consciousness.

The Pioneer's Perspective

"Having worked with neural networks since 1991, I've witnessed AI's entire evolution from academic curiosity to business imperative. This historical perspective enables me to see beyond current hype cycles to understand AI's true potential - and limitations."

Core Competencies

AI & Machine Learning

LLM/RAG Systems
2 years
Amazon Bedrock
1 year
MLOps/SageMaker
5+ years

Cloud Platforms

AWS
15+ years
Azure
12+ years
Kubernetes
8+ years

Data Architecture

Databricks
4+ years
Data Lakehouse
5+ years
Unity Catalog
1 year

Programming & Tools

Python
15+ years
SQL/T-SQL
20+ years
Terraform
6+ years

Business & Strategy

TBM/FinOps
8+ years
Executive Advisory
15+ years
Agile/SAFe
10+ years

Security & Governance

Zero Trust
6+ years
GDPR/Compliance
8+ years
Data Privacy
10+ years

Let's Connect

Ready to transform your technology vision into reality