Experience
Aneira Health
Leading development of a GCP-native data platform providing women with personalised, clinically validated healthcare insights that directly improve patient outcomes. Simultaneously building a world-class multimodal research platform integrating de-identified EHR, genomics, DICOM, and wearable data.
- Delivered a production grade data platform integrating EHR, genomics, and wearable data streams.
- Established FHIR-compliant architecture with interoperability as a core feature, including an MCP layer to enable secure LLM use cases (e.g., triage, coaching).
- Directed product discovery and initial development to expose the research platform to the first external pharmaceutical customer.
- Operated in a seed-stage context, spanning product, platform, and engineering execution.
- Position ended as the company was unable to secure follow-on funding in a difficult macro-economic environment.
Population Health Partners (incubator of Aneira Health)
Strategic and technical advisor across portfolio companies on data, ML, and AI platforms.
- Guided ML/AI capability development, engineering standards, and scalable data infrastructure across biotech, pharmaceutical, and healthcare portfolio companies.
- Led vendor assessments and selections (e.g., Vanta, Dagster, Linear, Miro, Posthog).
QuantumBlack Labs (a McKinsey company)
Product leader for developer tooling and durable ML delivery; stewarded open source and incubated multiple products end-to-end.
- Incubated an internal multi-tenant 'ML Models as a Service' platform from Aug 2023 to initial client deployments in 2024.
- Created Alloy, an internal build tool to compose Kedro projects from reusable building blocks; simplified packaging, CI/CD, and testing, driving organisation-wide adoption.
- Drove velocity on the open-source project Kedro (10.5k ★) first as a contributor and then as a product lead, leading efforts across product research, developer relations, and developing overall product toolkit. Stewarded Kedro through the Linux Foundation for AI & Data from incubation to graduated project. Drove a customer-driven research initiative that overhauled Kedro's dynamic configuration experience, significantly reducing overhead. Continue to serve on the Kedro Technical Steering Committee (TSC) outside of the organisation.
- Directed cross-functional teams to drive consistency and raise engineering excellence across a global ML cross-industry product portfolio.
- Defined privacy-preserving product telemetry standards and rollout practices.
- Organised developer community events and Demo Days to drive reuse and collaboration.
QuantumBlack (a McKinsey company)
Forward-deployed Data Engineer delivering production ML across pharma, manufacturing, insurance, and motorsport.
- Built reinforcement-learning-driven race strategy software for a championship-winning Formula E team; led Phase 1 (Engineering) and Phase 2 (Product).
- Designed and implemented feature engineering and MLOps deployment pipelines across vaccine production, diabetes patient journeys, motor insurance pricing, water treatment amongst others.
PwC
Delivered data-driven investigations into fraud, disputes, and trade surveillance; developed SQL/Python toolkits.
- Analysed Bloomberg communications related to LIBOR front-running.
- Resolved creditor disputes and managed decommissioning projects following the Lehman Brothers bankruptcy.
- Led development of graph-database-powered market surveillance tooling.
Skills
Languages:
Python, SQL
Frameworks:
Dagster, Airflow, dbt, sqlmesh, PySpark, Kedro, Ibis, Kafka, Pandera, FastMCP, FastAPI
Product & Practices:
Product Management, Platform Strategy, MLOps, Telemetry & Privacy, DevEx, CI/CD, LLMs, Testing