A first year PhD student researching use of Natural Language Processing to automate fact checking of claims made in text.
Responsible for reducing technical debt and obsolescence across the mine-hunting sonar product group. Liaised with product owners and engineering managers to identify issues and develop a product variant strategy that would save 1500 man-hours of NRE per platform.
Presented a white paper to the Specialist Engineering Technologies working group, heads of business and UK chief software architects on use of description logics in model driven development to rationalise assets for product line engineering
Completed a research project in Natural Language Processing using a content-based recommender to link topic clusters extracted from free text to build a semantic browser for IBM Infosphere BigInsights.
Technology used: Hadoop, DB2, Hive, HBase
Responsible for development of 2 sonar sub-systems which are currently deployed in active service. Both systems required me to provide technical leadership to reduce risks integrating with other systems under development.
Introduced a continuous deployment process from onto test-environment which saved all developers time when verifying software builds.
Experience delivering green-field and brown-field business software for numerous clients in eCommerce, retail and accounting sectors
Designed scalable mission-critical data processing system and analytics platform for a multi-tenant restaurant application
Competencies: C#, ASP.Net, Microsoft SQL, Postgres, Java, Spring, MongoDB, Reddis, RabbitMQ