Strategy co-design
Translate ambition into a small number of accountable bets, surface constraints early, and map the data / platform implications before engineering starts.
AI & GenAI
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Driving Client Transformation & Value Creation
I translate advanced AI & emerging tech into measurable business impact. For nearly two decades, I've bridged deep tech expertise with commercial strategy to help organisations achieve new revenue streams, leaner operations, and better customer experiences, leveraging UK and USA experience across industries to deliver solutions that create lasting value.
Adaptive Launches
38
Integrated strategy, data, product & AI activation
Impact Velocity
3.6×
Average acceleration for roadmaps & value capture
AI Confidence Index
92%
Stakeholder confidence lift across recent programmes
Applied AI Strategy
Design operating models, roadmaps, and governance that keep AI initiatives aligned to business intent.
Intelligent Content Systems
Build adaptive knowledge flows that blend GenAI, search, and automation for teams and customers.
Impact & Enablement
Close the loop with measurement frameworks, capability uplift, and responsible AI guardrails.
Ops Efficiency↗ 27%
Latency Reduction-41%
Governance CoverageFull-stack
How we work together
Co-create the right things, then ship them responsibly
Every engagement is a partnership with the people accountable for delivery. We stick close to the work, look after teams, and make sure the story and governance stay aligned from first workshop to go-live.
Product + content delivery
Shape roadmaps, service blueprints, and workflow design so launches balance craft, governance, and measurable adoption.
Capability handover
Define playbooks, rituals, and documentation so internal teams own the capability, not an external consultant.
What to expect
Momentum without theatre
We keep rituals lightweight and centred on decision-making. The goal is a team that knows what happens next, why it matters, and how the story lands with stakeholders.
Embedded partner
Executive alignment
Fortnightly checkpoints to make sure decisions hold up against strategy, budget, and risk.
Maker cadences
Working sessions with product, engineering, and content owners to unstick delivery details.
Go-live storytelling
Support for comms, enablement, and measurement so teams can explain the value with confidence.
Cadence that respects calendars
Working sessions land in people’s diaries with clear outcomes. No performative steering decks—just shared docs, async updates, and a rhythm that keeps leaders informed.
Bi-weekly exec syncsShared decision logs
Under the Hood
A quick snapshot of the technical backbone that powers the experience, from orchestration to governance.
AI Experience Stack
Composable architecture combining LangChain, vector search, and fine-tuned models for enterprise-grade deployments.
Realtime Intelligence
Streaming pipelines with WebAssembly and WebGPU accents that keep insights adaptive without crushing battery life.
Governance & Safety
Responsible AI guardrails, evaluation loops, and privacy-by-design patterns embedded throughout the workflow.
AI R&D Lab: Prototyping the Future
Exploring the frontiers of artificial intelligence through research, experimentation, and innovative applications.
Multi-Modal Agentic Intelligence Synthesis
Advanced R&D exploring the fusion of multi-modal perception and agentic reasoning for comprehensive market intelligence. This prototype orchestrates specialized agents (using frameworks like LangGraph) to analyze and synthesize insights from diverse, unstructured data streams: processing text (news, financial reports via RAG/LLMs), audio (earnings call sentiment/key topics via Whisper/LLMs), and vision (product/logo detection in social media images, satellite data analysis via Vision APIs). Aims: Generate nuanced, real-time strategic insights unattainable through siloed analysis.
Agentic AIMulti-Modal AILLMs (Gemini/GPT-4V)RAGSpeech-to-TextComputer VisionAPI IntegrationLangGraphInformation SynthesisPythonConcept
Privacy-Enhanced Synthetic Data Generation
Investigating state-of-the-art generative models (exploring Diffusion Models & VAEs for complex tabular/sequential data) integrated with formal differential privacy guarantees (e.g., using Opacus/Google DP). The goal is to create high-fidelity, statistically representative synthetic datasets from sensitive sources, enabling robust downstream analytics and ML model training in regulated sectors (finance, healthcare) while mathematically protecting individual privacy.
Focus: Utility-privacy trade-offs and validation metrics.
Synthetic Data GenerationGenerative Models (Diffusion/VAE)Differential PrivacyData PrivacyStatistical ValidationPythonPyTorch (Opacus)MLConceptResponsible AI
HeatWise (Home Energy Optimiser)
A functional 'micro-control-tower' for smart homes, proving the `Sense -> Predict -> Optimise -> Supervise` pattern. Ingests smart meter data, forecasts energy demand (Prophet/XGBoost), optimizes Nest schedules via linear programming (~18% projected bill savings), and executes via IoT APIs. Fully containerized with MLflow/CI/CD, it prototypes the core logic for scalable enterprise energy management and industrial control-tower twins.
Future exploration: Integrating dynamic tariffs and grid signals.
ML ForecastingOptimizationIoT (Nest API)PythonFastAPIMLflowDockerCI/CDResponsible AIDigital Twin (Micro)
Advanced Ticket Triage System
Explored the AI spectrum for support ticket triage, comparing traditional ML (SVM/NB) reliability against zero-shot LLMs, fine-tuned transformers (DistilBERT), and contextual RAG (FAISS/Flan-T5). This journey identifies the optimal AI approach based on need – from dependable ML today to sophisticated GenAI tomorrow – aiming to enhance CX and agent productivity.
Next steps: Deploying the optimal model with continuous monitoring.
Traditional MLNLPSentiment AnalysisZero-Shot LLMFine-Tuning (DistilBERT)RAGSentenceTransformersFAISSStreamlitPythonComparative Analysis
Personalised Environment Awareness Assistant
An accessibility-focused project classifying critical environmental sounds (alarms, sirens) using audio transfer learning (YAMNet, F1≈0.9). Integrates GenAI (Gemini) for contextual alerts via a Gradio demo. Actively developing the iOS app and Core ML conversion for efficient, private on-device inference.
Future work: Personalizing sound recognition and enhancing robustness in noise.
Audio MLTransfer Learning (YAMNet)TensorFlow/KerasGenAI (Gemini)PythonGradioiOS App DevCore MLAccessibility Tech
PromoPulse POC (Retail Insights Bot)
Fusing classical ML (XGBoost for price elasticity on M5 data) and GenAI (LLM-drafted promo briefs) for retail optimization. This end-to-end POC includes responsible AI guard-rails (price floors) via a FastAPI/Streamlit workflow, demonstrating rapid generation of data-driven commercial insights.
Extensions: Incorporating competitor data and multi-product campaign optimization.
ML (XGBoost)Price ElasticityGenAI (LLM Prompting)PythonFastAPIStreamlitMLflowResponsible AIRetail Analytics
DroneApp – GenAI Flight Companion & Safety Coach
Enhancing drone safety and pilot development, this PWA integrates DJI SDK data (exploring Betaflight & other sources) for real-time flight risk scoring, predictive maintenance insights (XGBoost), and mission replay heatmaps. Features a conversational 'Safety Coach' powered by Gemini API to explain anomalies and regulations, demonstrating a fusion of predictive analytics, IoT data visualization, and GenAI for advanced operator support.
Aim: Create an indispensable tool fusing predictive analytics, IoT visualization, and GenAI support.
PWAPredictive ML (XGBoost)IoT (DJI SDK, Betaflight)GenAI Coach (Gemini API)Risk ScoringData VisualizationVue.js 3TypeScriptIndexedDB
Data-Alchemist LLM (Concept)
Prototyping an LLM agent (fine-tuned Llama 3) to tackle the critical data preparation bottleneck. Aims to profile data, generate reproducible cleaning code (Python/PySpark), suggest features, and synthesize edge-case data (GANs), governed via YAML recipes, Dagster, and Great Expectations.
Ambition: Create a robust accelerator drastically reducing data prep time in complex analytics engagements.
GenAILlama 3 Fine-TuningCode GenerationData Profiling/CleaningSynthetic DataPythonMLOpsDagsterGreat ExpectationsConcept
Autonomous Control-Tower Twin (Concept)
Strategic R&D concept for an agentic platform simulating and self-optimizing enterprise value chains – 'Waze + autopilot for a factory.' Explores orchestrating ML forecasts, real-time GenAI insights (Llama 3 RAG), and RL optimizers (PPO) via Ray Serve for proactive, closed-loop decision-making.
Goal: Validate core components for future pilot deployments in complex operational environments.
Agentic AIML ForecastingGenAILlama 3RAGReinforcement LearningSimulationRay ServePythonConceptDigital Twin
LinkedIn Content Co-Pilot (Agentic Workflow R&D)
Investigating optimal agentic architectures by building and comparing multi-agent systems (Google ADK/A2A, CrewAI, Langchain) for complex creative workflows like LinkedIn content generation. Deep exploration into agent orchestration, collaboration patterns, and framework trade-offs.
Focus: Benchmarking scalability and reliability for collaborative AI tasks.
Agentic AIMulti-Agent Systems (MAS)Google ADKCrewAILangchainGenAILLM OrchestrationPythonStreamlitFramework Comparison
InsightGenius (AI Briefing Generator)
Developed a scalable full-stack application (React/Node.js/PostgreSQL) providing AI-generated, structured briefings using multiple LLM APIs (Gemini, OpenAI, OpenRouter). Features customizable parameters (depth, focus, timeframe) for enterprise use cases like contact centre knowledge augmentation.
Roadmap: Internal document integration and team features.
GenAI (Multi-LLM API)Full-Stack DevReactNode.jsTypeScriptSQLPostgreSQLDrizzle ORMREST APIScalable Architecture
MealMind (Dietary Meal Planner MVP)
Rapidly prototyped utility demonstrating constraint-based planning and automation. Generates personalized (gluten/lactose-free) meal plans respecting budget, compiles shopping lists, and exports to calendars (.ics) via Streamlit. Showcases quick development of practical, user-centric tools.
Constraint ManagementPlanning/AutomationPythonStreamlitData HandlingAPI/Library Integration
Core Strengths
Combining technical expertise with strategic vision to deliver transformative AI solutions.
Interactive Skills
Drag, throw, and play with these interactive skill cards powered by a real-time physics engine. This demonstrates both my technical capabilities and my approach to creating engaging, interactive experiences.
AI Strategy
ML Implementation
Innovation
Data Analytics
Problem Solving
Rapid Prototyping
Strategic Vision
I translate complex technical capabilities into business value, helping organizations understand how AI can drive growth, efficiency, and innovation.
Technical Excellence
With deep expertise in machine learning, natural language processing, and data science, I build robust, scalable AI solutions that deliver measurable results.
Practical Innovation
I balance cutting-edge approaches with pragmatic implementation, ensuring solutions are not just innovative but also reliable, maintainable, and aligned with business goals.
AI Expertise Network
Explore the interconnected domains of my AI expertise and how they create a comprehensive approach to AI strategy and implementation.
Expertise Categories
Core AI
Strategic AI implementation and GenAI expertise
Technical Skills
Hands-on development and implementation capabilities
Industry Domains
Specialized knowledge across key business sectors
Methodologies
Frameworks and approaches for successful AI delivery
Network Insights
This interactive visualization demonstrates how my diverse expertise areas connect and complement each other. Hover over nodes to explore relationships and see how different skills and domains interact to create comprehensive AI solutions.
Key Benefits:
- •Holistic approach combining technical depth with strategic vision
- •Cross-domain expertise enabling innovative solutions
- •Practical implementation experience across multiple industries
Thought Leadership & Exploration
Sharing insights and perspectives on the practical application and future trajectory of AI.
Published
White Paper
The Personal AI Frontier: Decentralized Intelligence for Individual Empowerment
Introducing four original frameworks that outline a pathway from service-based AI to sovereignty-centered AI, balancing deep personalization with privacy through on-device computation and user-defined data policies.
May 2024View Publication
DOI: 10.5281/zenodo.15343601
White Paper
The Code of Tomorrow: How AI Will Reinvent Software Development
Exploring how AI is transforming software development from manual code composition to intent-based programming, recasting developers as strategic 'AI orchestrators' while addressing security, ethics, and governance considerations.
Coming SoonComing Soon
linkedin
LinkedIn Articles & Insights
Regular articles exploring emerging AI trends, practical implementation strategies, and thought-provoking perspectives on the evolving technological landscape.
OngoingRead More