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Work Background
Scion ComplianceFractional CTO - Scion Compliance
Oct. 2025Manchester Area, United KingdomI serve as Fractional CTO for Scion Compliance, guiding the technical vision and engineering strategy behind a growing suite of AML and financial-crime automation tools. My work focuses on transforming complex regulatory requirements into scalable, efficient systems that support high-volume onboarding, risk assessment and operational decision-making. I work closely with Scion’s FCA-approved specialists to design technology that is secure, compliant and commercially pragmatic for law firms, accountancy practices and regulated financial institutions. Key Responsibilities:
• Lead the architectural design and development of AML/CTF automation systems, intelligence workflows and risk-driven tooling
• Build large-scale scraping pipelines and data-collection systems for regulatory and financial-crime intelligence
• Develop weekly compliance-intelligence automation using open-source LLM research frameworks
• Design internal dashboards, quality-assurance tooling and enhanced risk-workflow systems
• Oversee data infrastructure, secure environments, and the operational backbone supporting regulated clients
• Shape Scion’s technical roadmap, engineering processes and long-term product direction
• Partner with FCA-regulated subject-matter specialists to ensure accuracy, defensibility and alignment with regulatory expectations
• Design and deliver bespoke solutions for law firms, accountants and financial-services organisations
• Act as a senior technical advisor on automation, architecture and digital transformation across the business
Legacy SourcingTechnical Consultant
Aug. 2025 - Nov. 2025Manchester Area, United KingdomI support Legacy Sourcing as their technical consultant, designing the technology that powers their property analytics and sourcing operations. My work combines data engineering, scraping, valuation logic and automation to streamline deal flow, enrich property data and support investor decision-making. Key Responsibilities:
• Develop property analytics tools, valuation models and sourcing systems
• Build scraping pipelines for sold-data, listings and market insights
• Create automation that speeds up deal flow and lead qualification
• Design data enrichment workflows and investor-reporting logic
• Maintain secure and efficient internal tooling for the team
• Provide ongoing technical direction and system improvements
EnviselFounder - SoundSure (LegalTech for NIHL)
Jan. 2025Manchester Area, United KingdomI built SoundSure as a LegalTech tool that automates audiogram interpretation and generates structured, objective NIHL reports for UK law firms. I lead the product direction, scoring logic, UI/UX and overall technical design, working closely with my team to develop backend components, refine workflows and shape the commercial strategy. SoundSure is designed to give firms a clear, consistent and fast way to process NIHL casework at scale. Key Responsibilities:
• Lead overall product strategy and feature development
• Design and refine the UI/UX to ensure clarity and usability for legal teams
• Work with my team on backend logic, application architecture and performance
• Develop scoring rules, interpretation thresholds and structured reporting formats
• Maintain a secure, online tool suitable for sensitive clinical data
• Iterate rapidly based on real-case feedback from multiple UK law firms
• Oversee onboarding, customer success and the long-term technical roadmap
• Shape the commercial direction and positioning of the product
EnviselFounder
Apr. 2023Manchester, England, United KingdomI lead Envisel, a data and product consultancy that builds advanced analytics systems, behavioural-data pipelines and machine learning tools for clients across multiple industries. My role blends technical architecture, product development and delivery leadership. I oversee a multi-disciplinary team, design complex data workflows and deliver bespoke solutions that combine automation, ML and operational insight. Key Responsibilities:
• Lead a distributed engineering, data and annotation team
• Architect behavioural analytics pipelines and multi-year dataset workflows
• Build annotation systems, scoring engines and review frameworks
• Deliver custom ML tools, dashboards and automated reporting systems
• Manage client relationships, technical execution and project delivery
• Oversee secure cloud data workflows and GDPR-aligned processes
• Design internal tooling, automation and ETL pipelines for clients
EnviselFounder - EnviselView (AI for Shopify)
Jan. 2023Manchester Area, United KingdomI lead product and technical development for EnviselView - an AI-supported analytics platform for Shopify merchants. My role covers backend engineering, data modelling, UX, multi-tenant development and designing the systems that sync real-time sales, customer and marketing data. I also oversee user onboarding, outreach, market positioning and the long-term roadmap, alongside my Commercial Director, Jade. Key Responsibilities:
• Build and maintain backend architecture (Laravel, Next.js, AWS, Supabase, Postgres)
• Create multi-tenant dashboards with real-time data sync
• Design data models for sales, customers, products and ads
• Integrate Google, Meta and TikTok ad APIs
• Implement KPI benchmarking and automated marketing insights
• Build lead-acquisition systems using automation and large datasets
• Manage user onboarding, support and feedback-driven improvements
ConfidentialBehavioural Research & Annotation Lead
Jan. 2019United StatesI lead the technical development of behavioural-data and annotation systems used in long-term research projects. My role includes designing annotation structures, multi-pass workflows, scoring logic, dataset architecture and quality-control tooling that supports high-accuracy behavioural analysis. Key Responsibilities:
• Build and maintain behavioural annotation workflows and dataset structures
• Design ethograms, behavioural taxonomies and multi-pass logic
• Develop IRR scoring tools, QA systems and reviewer workflows
• Create dashboards and automated analysis pipelines for research teams
• Lead secure cloud storage workflows and GDPR-aligned data systems
• Implement automation to improve reliability and consistency
• Provide technical leadership across multi-year research programmes
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