At Echobox, I architected and built a serverless newsletter optimisation pipeline for news publishers, using AWS Step Functions and Java and Python Lambda functions. I also became the service’s primary technical point of contact, investigating production issues and advising on architectural extensions.
I developed email analytics APIs and an event-driven webhook service to process subscriber events and synchronise publisher lists. On the social product, I extended the automation platform and implemented backend APIs for social listening, including integration of a data scientist’s machine learning model.
Earlier, at Albourne Partners, I developed Java and PostgreSQL applications and reporting tools, including the Private Markets Fee Terms backend. I also interned as a Machine Learning Engineer at Signal AI, classifying news articles with supervised models. I hold an MSc in Data Science and Machine Learning from UCL.
