Most of my work has been research software engineering: implementing people’s cutting-edge data research into usable, tested, and correct software.
Summer 2019: Data Engineering at Intuitive: the leading company in robotic surgery.
I’m on the Advanced Data Analytics team, working on implementing machine learning research in NLP and weak supervision.
I built Hulgrave a small set of production-level algorithms for portfolio optimisation, and machine learning algorithms for outlier detection, using a combination of Java and Python. I successfully pitched this product to a major investment manager.
Spring 2017: Research Software Engineering at The Alan Turing Institute, the British National Institute for AI and Data Science.
I built deep learning classifiers for infant health, using Python.
I built some Alexa Skills, and contributed to the Alexa SDK, as part of the Turing’s collaboration with Amazon, using Node.js. Alexa integrated “room booking” functionality (just like one of the skills I built) into their API in 2019, so I beat them to the punch by two years.
I was a co-author for a talk at the UK Conference of Research Software Engineers, entitled Curating Datasets for Development of Automated Data Wrangling Tools.