Bringing ML to Production
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I aim to incorporate AI into your business, and make it useful in the real world. This means getting the most out of the data that you have, within the context of the systems you have already built. I have not only worked on terabyte-scale data and productionised ML models, but also created user-friendly visualisations so that all insights can be actioned much more confidently.
I have a passion for AI and transforming its research into impactful real-world applications. I am experienced in building scalable, fault tolerant distributed systems that deal with large data volumes, having been programming for 20 years, including 8 with Python, 6 with the PyData stack and 3 with Spark.
With data science, I have full-stack experience spanning the construction of robust ETL and data pipelines, and the development of associated visualisation tools based on real-world data. In summary, I build data products, productionise data science solutions and have extensive experience in the field of data engineering and machine learning.