Systems Built

Work

AI systems, automation and data platforms built and delivered end to end. Hover any card for a preview of the interface.

Annual Report

Nom Committee

AI & Governance Systems

Regulatory and Governance Intelligence Platform

Automated monitoring, extraction and drafting for corporate-governance and remuneration analysis, built for The Investment Association's governance and research teams, including work connected to IVIS, the Institutional Voting Information Service.

Outcome

Processing that took up to 5 hours per company now completes in under 10 minutes, and the FCA NSM monitoring system tracks 850+ listed companies continuously with no manual checking required. Research cycles that took 3-4 days of background reading can now be started within an hour.

PythonOpenAIRAGLangChainPineconeFastAPIReactAWS LambdaPydanticpandas

Investment Industry Intelligence Dashboard

An interactive dashboard bringing two decades of investment management industry survey data into one queryable system, with a natural-language layer on top.

Outcome

Deployed internally at The Investment Association. Policy staff can visualise any trend, compare metrics across years and get natural-language summaries of changes, supporting advocacy work, press briefings and regulatory submissions.

PythonRechartsNext.jsPostgreSQLOpenAI

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AI Systems

Candidate Intelligence Platform

An AI and automation platform for Quay Group, a specialist recruitment business serving the superyacht, maritime and ultra-high-net-worth market, turning interview calls, CVs and references into client-ready candidate profiles.

Outcome

Cover letter generation dropped from 45 minutes to under 2 minutes per candidate, fully automated. Output quality improved because the system captures every detail from the call rather than relying on note quality, and the agency handles higher candidate volumes with the same team.

PythonWhisperOpenAIReportLabFastAPI

Finance and Operations Automation

Automation covering reconciliation, reporting and data normalisation for investment firm operations, building on earlier finance-automation work during a full-time placement.

Outcome

Weekly manual processing overhead reduced by roughly 18 hours. Error rates on reconciliation dropped because the system applies consistent rules rather than relying on individual attention, and the audit trail supports compliance requirements that manual processes couldn't meet.

PythonPower AutomateExcel APISharePointVBAPower BI