Summary
Seraphina Anderson is a versatile Python developer and data engineer with 11+ years delivering production systems across security, search and recommendation domains, blending a rare creative background in filmmaking and animation with deep mathematical study. She has built search and recommendation engines, automated complex data pipelines, and performed threat analysis and blacklist enrichment while shipping Flask APIs, Dockerised services, and CI/CD improvements at scale. Comfortable across full-stack Python, Postgres/Mongo, and machine learning techniques from NLP to reinforcement learning, she also brings hands-on DevOps experience with Terraform, CircleCI and cloud migrations. Notably, her career began in the arts, which informs an aesthetic appreciation for elegant code and motivates her interest in open source, generative AI and frontier research areas like proof theory and quantum computing. Currently self-employed, she continuously experiments—recently building a Flask app deployed on Linux/nginx and authoring Expert Advisors in MQL4 while learning C++—demonstrating a pragmatic curiosity that bridges research and applied engineering.
11 years of coding experience
9 years of employment as a software developer
Bachelor's Degree Mathematics, Bachelor's Degree Mathematics at The Open University
Master's degree Animation, Master's degree Animation at Royal College of Art
Bachelor's Degree Fine Art Film and Video, Bachelor's Degree Fine Art Film and Video at University of the Arts London
English