Donald Whyte

Learned Python in 2010, but started using it seriously in 2012. I've used Python to build web services, infrastructure orchestration (that is, automatic database and key-value store orchestration on the cloud), data cleaning, ML research and running ML models in production.

Used to build video games and video game engines using C++. After I moved away from video games, I used C++ to research ways to accelerate scientific visualisation of highly complex data. (see research paper here: https://vlebb.leeds.ac.uk/bbcswebdav/orgs/SCH_Computing/FYProj/reports/1314/Whyte.pdf) Now I write C++ on a regular basis building a key-value store, financial trading systems and high-performance algorithms for running ML models in production. Also I see my talk on testing C++ code using Google Test/Mock: http://donaldwhyte.co.uk/gmock-presentation/#/

I perform data science tasks on a daily basis, from data cleaning to building models. I've worked as a data scientist for the British government and given many talks on machine and deep learning.

I've interviewed over 150 candidates for various technical roles, and have interviewed at many top-tech companies myself.

I've managed very large and important SQL databases in the past.

I have much experience with testing of all kinds. I am a strong advocate of high-quality testing, have lead the testing effort on various teams and given talks/technical workshops on effective testing to other software professionals.

I've set up and managed the infrastructure of systems of varying complexity, from basic web applications to complex high-performance data processing pipelines.