CV
Summary
Applied Data Scientist and Consultant with 7+ years of experience delivering production ML/GenAI solutions across finance, healthcare and the public sector. Drove £8M+ in projected savings across a £10M programme portfolio. PhD in Engineering from University of Cambridge with a track record of leading cross-functional teams from concept to production and driving executive adoption.
Professional Experience
- Expert Consultant (contract), Rud Pedersen Group / Bloch.ai — London, UK - Jan 2025 – Present
- Led executive training on AI adoption and strategy, guiding senior leadership in AI vision setting, capability assessment and business value driven prioritisation resulting in discovery of 30+ high-impact use case with £1.8M projected annual savings projected annual savings
- Mapped the full bid development journey, identified friction points and automated LLM driven first draft by retrieving structured content from past proposals, bios, and capability statements eliminating 80% of repetitive tasks and accelerating bid turnaround
- Operationalised scalable AI-powered sentiment and emotion analysis engine on Azure processing 100K+ internal communications
- Head of Applied Science, Grant Thornton — London, UK - Jan 2022 – Nov 2024
Strategy & Thought Leadership- Authored White Paper for UK Government on cybersecurity vulnerabilities in AI systems, incorporate insights from 10+ cross-sector experts to identify 12 critical threat vectors across the AI lifecycle, delivering actionable recommendations to secure AI systems
- Authored an AI-impact report for a global financial conglomerate, surveying 100+ roles across 50+ departments to assess near-term AI advances, map role-level disruption from reception to C-suite and deliver a skills-based roadmap to prepare the workforce for automation and improved operational efficiency
- Led GenAI adoption programme: defined the enterprise roadmap, identified/prioritised 25+ use cases across 5 divisions, set intake, governance and success KPIs, designed ideation to product pipeline and launched 8 solutions (R\&D/reporting/ops) saving £3M+
- Drove org-wide enablement and adoption: partnered with marketing to run a company-wide campaign, built a champions network across divisions and delivered demos to 2000+ staff, and mentored 7 junior data scientists
Applied AI Delivery
- Automated 90% of audit-report generation using LLMs, replacing 5 FTE while maintaining 100% compliance
- Delivered a computer-vision PoC to detect PPE violations on dynamic construction sites with 98% recall for an H&S project
- Built an adaptive residual-value model for EV fleets (XGBoost): engineered self-improving lifecycle-cost predictions using real-time repair/degradation data, optimising sell/hold decisions for multi-million-pound asset portfolios
- Co-Founder and CEO, Caritas Research Limited (Non-profit) — London, UK - Feb 2021 – Mar 2024
- Co-founded a strategy and research consultancy (UK with branches in India and Bangladesh) enabling NGOs, social enterprises, and not-for-profits to evaluate social-programme impact and redirect effort to maximise outcomes
- Consultant, Appian Corporation — London, UK - Feb 2020 – Jan 2022
- Identified business gaps; proposed and led development of an app to optimise allocation of reserve consultants to internal projects, utilising £1.1M/annum of human resources for internal development
- Managed a team of developers; delivered software from inception to final product using Agile, automating processes and integrations for 6,000+ concurrent users across the EU
- Research Engineer, Thames Water Utilities, Ltd. — Reading, UK - Jan 2012 – Dec 2013
- Won £120K in funding; led a 4 - person team from experimental design through to presenting findings at an international conference
- Engineered multi-stage reactor systems that increased anaerobic-digestion efficiency of sludge treatment process and increased biogas production by 33–52\%; slashed grid-energy dependency and reduced plant OPEX through self-sustaining biogas utilisation
Appointments
Visiting Researcher, UCL Hospital – Department of Surgical Biotechnology — London, UK - Mar 2025 – Present
Visiting Research Fellow, Manchester Metropolitan University — Manchester, UK - Apr 2024 – Present
Education
- PhD in Chemical Engineering and Biotechnology, University of Cambridge — Cambridge, UK - Oct 2014 – Sep 2018
- Fully funded scholarship, authored 1 peer-reviewed paper and awarded Best Poster prize at conference
- Proposed a novel flow model to describe the behaviour of complex fluid to improve oil well integrity and drilling operations
- BSc in Chemical Engineering (1st Class Hons.), University College London — London, UK - Oct 2007 – Jun 2011
Skills
Skills - Time-series forecasting, Classification, Residual Value Evaluation, Image, Signal and Noise processing, Image Segmentation
Language /libraries - Python (Numpy, Scipy, Pandas, Matplotlib, OpenCV, scikit-learn, PyTorch, Tensorflow), MySQL, MATLAB
Platform - Azure (OpenAI, AI Foundry, ML Lab, Function App, PowerPlatform, Teams apps), Appian, KNIME, GitHub, Postman <!– | Analytics & ML | Engineering & Cloud | Delivery & Governance | |——————————————–|—————————————————|———————————————| | LLM apps & RAG; prompt engineering | Python, SQL (T-SQL/Postgres/MySQL), Git/GitHub | Agile/Scrum, Jira/Azure Boards | | NLP: sentiment, emotion, NER, summarisation| Azure ML, Azure OpenAI, AI Foundry | Use-case discovery & ROI modelling | | Computer vision: detection, segmentation | Azure AI Search, Functions, App Service, Storage | Executive training & enablement | | Time-series forecasting, anomaly detection | MLOps: CI/CD, model serving, monitoring | Responsible AI & AI security (guardrails) | | Residual value modelling (EV fleets) | Power Automate/Apps, Microsoft Graph, Teams/SP | Documentation, whitepapers, workshop design |
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