Quantum and research engineering
Distributed quantum computing software, protocol simulation, compilation, heterogeneous execution models, SDK design and OSS community development.
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Portfolio, experience and contact.
A conventional view of the work behind the skill graph: consulting focus, selected projects, employment history, technical depth and contact details.
Experience across
Consulting focus
Useful when the work is technical, ambiguous and business-critical.
The portfolio is split by the kind of problem I solve, not just by employer. Each area is backed by shipped work in production or research-led environments.
ML platforms and realtime features
Feature stores, model training and evaluation pipelines, online serving, model versioning, monitoring, drift detection and stakeholder-facing delivery.
Data-intensive cloud systems
Event-driven services, high-throughput ingestion, low-latency APIs, resilient GCP infrastructure, observability and database performance work.
Full-stack product R&D
Research-to-product engineering across network analytics, indoor positioning, API design, auth, mobile integration and typed frontend systems.
Selected portfolio
Work that translates directly into consulting value.
Sky Personalisation
Realtime feature platform for streaming recommendations
Designed and built a centralized feature store for ML models powering personalized experiences across Sky and NBCU streaming products.
- Scale
- Terabytes of event data from hundreds of Pub/Sub topics
- Traffic
- Operated through the Paris Olympics and US Super Bowl load profile
- Latency
- Online feature retrieval designed around p99 < 25ms
Bosonic Quantum Devices
Distributed quantum computing R&D
Building software for DQC compilation, simulation and execution across heterogeneous quantum systems, with simulator work enabling protocol validation before large-scale hardware is available.
Relay Technologies
Production ML platform foundations
Built model training, evaluation, deployment and monitoring pipelines with versioning, type safety, data drift metrics, dashboards and alerting.
dotData
Distributed AutoML and Big Data ETL
Developed concurrent backend infrastructure for automated preprocessing, training, validation and prediction over terabyte-scale customer datasets.
BrightRide
Temporal network analysis
Designed social graph analytics using Jira, GitHub and Slack data to surface communication inefficiency, developer overload, burnout risk and team silos.
Living Map
Indoor positioning and geospatial full stack
Built mobile-to-cloud positioning workflows using sensor fusion across WiFi, magnetics, GPS and acceleration, with APIs and live visualisation tooling.
Track record
Senior delivery across research, ML and product engineering.
Lead Software Engineer
2025 - PresentBosonic Quantum Devices - Quantum computing software
Distributed quantum computing R&D across compilation, simulation, execution, SDK development and research community outreach.
Staff ML Engineer
2025Relay Technologies - Delivery network logistics
ML platform architecture, model lifecycle automation, evaluation metrics, feature-store integration and production observability.
ML Engineer
2023 - 2025Sky - Personalisation
Feature store, realtime feature engineering, GCP data pipelines, Kubernetes services, BigQuery, BigTable, Dataflow and observability.
Full Stack Software Engineer
2022 - 2023BrightRide - Network analysis
Social graph analysis and customer-facing metrics from Slack, GitHub and Jira integrations using Scala, Akka HTTP, Postgres and GCP Identity Platform.
Backend and ML Engineer
2019 - 2022dotData - Automated end-to-end machine learning
Distributed Scala/Python backend infrastructure, automated feature engineering, model optimisation, data connectors, REST APIs, SSO and database performance.
Full Stack Software Engineer
2018 - 2019Living Map - Indoor positioning and digital mapping
Mobile sensor fusion, geospatial APIs, PostgreSQL schema design, Scala Play services and React/TypeScript visualisation.
Technical depth
Strongest where research, data and production meet.
Engineering
Python, TypeScript, Java, Scala, SQL, Qiskit
MLOps and data science
pandas, numpy, scikit-learn, Keras, Vertex AI, Kubeflow, Dagster, MLflow
Cloud infrastructure
GCP, Terraform, Kubernetes, Pub/Sub, BigQuery, BigTable, Dataflow, Redis, Cloud Run, IAM
Backend systems
Postgres, Node.js, Flask, Play, HTTP, gRPC, Akka Streams, OAuth2, JWT
Contact
Bring me in for difficult systems work.
I am a good fit for teams that need senior engineering judgement across ML infrastructure, cloud systems, R&D prototypes, platform architecture or technical rescue work.