Performed strategic reviews of workflow tools and company wide scientific data architecture.Led the redesign and migration away from legacy data registration systems. Led the rollout of workflow orchestration platform and data warehouse.

Design, delivery and support of workflow systems used to automate AI based chemical design algorithms and ML model building utilising cloud based compute, process automation and storage services.

Independent data science engineering consultant.

Knowledge graph research focusing on automated reasoning technologies.Reviewed and contributed data science content for bids on cyber security anomaly detection and behavioral analytics.

Data lead in a high profile technical team delivering strategic improvements in data science capability, analytics and tooling for a large data rich government client. Worked closely with senior stakeholders to prioritize, de-risk and organise product backlog. Enabled team to successfully deliver numerous applications and models into production on a proprietary cloud platform.Deployed an ETL messaging pipeline to parse millions of documents, images and emails in Java with an ElasticSearch and Neo4j storage layer. Applied numerous data science techniques and communicated actionable data insights using revealing D3.js visualizations; gave demonstrations to large audiences and director level stakeholders. Delivered a research feasibility report and MVP web application, integrated with a Python model (particle filter) behind a RESTful service layer, capable of making reliable predictions of a dynamic system from streaming observational data. Other data science techniques applied include but not limited to: text and image classification (Caffe), Word2Vec, NLP, graph analytics and knowledge graphs.

Full stack lead software engineer, successfully delivering projects in technically challenging client facing roles. Specialising in data processing and data analytics enterprise software systems utilising cloud and distributed computing technologies in the Hadoop ecosystem.Transformed query capabilities against a trillion record scale dataset by implementing optimized Hadoop Java MapReduce analytics to filter, de-duplicate, geo-tag and partition data for bulk load into Accumulo. Senior tech lead in a team of 10 developers, BAs and testers tasked with building, maintaining and integrating secured data connectors in Java for an enterprise workflow system.

Supported business critical operations by building a suite of enterprise web applications (LAMP stack). Relied upon and trusted by senior management for timely and accurately MI reporting and analysis. Web applications deployed included: workforce, financial management and self-service visualization.