Seraphina Anderson

I came into technology through an unusual route — from art and animation into mathematics, computer science, and eventually the engineering world. That path has given me a broad, intuitive feel for problem-solving: I'm as comfortable reverse-engineering legacy systems as I am designing data pipelines, building automation tooling, or experimenting with machine learning workflows. Over the past decade I've worked across Python engineering, data mining, DevOps, security, and infrastructure automation.

Increasingly, my interests have converged around the emerging AI ecosystem — particularly the engineering side of it: reproducible workflows, data pipelines, containerised environments, orchestration, and the practical integration of LLMs into real systems. I enjoy building the connective tissue that makes AI usable: APIs, pipelines, tooling, automation, and cloud-native deployment. I'm not a research scientist; I'm an engineer who likes to understand how things work end-to-end.

I learn fast, adapt quickly, and have a long-standing habit of diving into new domains — from Golang to Terraform to MQL4 — when the problem demands it. My aim is to bring that same curiosity and engineering discipline into AI systems work.

Senior Engineer – Code Management at Financial Times (2022-06 – 2025-10)

• Designed and implemented automation tooling including AWS Lambdas and CircleCI Orbs.
• Built Terraform-based infrastructure automation and contributed to platform-level architectural decisions.
• Managed codebase and infrastructure across Doppler, DockerHub, CircleCI, and GitHub.
• Reverse-engineered legacy systems and evaluated ecosystems for tooling development.
• Provided architectural guidance and mentored junior engineers.
• Hands-on scripting in Python and Bash for automation and internal tooling.

Senior Associate – Security Engineer at Redscan (2020-01 – 2022-12)

• Built cyber-security enrichment pipelines and threat-detection tooling.
• Developed detection rules, regex parsers, and OSINT-driven automation.
• Collaborated with cyber researchers, R&D teams, and ethical hackers.
• Supported customers with technical investigations and security challenges.

Lead Software Engineer at Cybersmart Ltd (2019-01 – 2020-12)

• Refactored Django codebase to resolve performance bottlenecks.
• Led standups, managed Kanban delivery, and ensured timely releases.
• Provided architectural input and hands-on debugging.

Applications Engineer at Tibra Capital (2019-01 – 2019-12)

• Bash scripting, server monitoring, Docker development, and Kubernetes operations.
• Automated deployment processes and built Python tooling for daily tasks.

Python & Golang Engineer at Resolute Asset Management (2018-01 – 2019-12)

• Built high-volume data mining pipelines with concurrency and parallelism.
• NLP-driven extraction using regex, XPath, and multilingual processing.
• Dockerised pipelines, deployed to Google Cloud, and authored internal documentation.
• Transitioned to Golang for pipeline and API development.

Independent Engineering & Data Projects at Independent (2015-01 – 2018-12)

• Built automation tools for scraping, enrichment, classification, and document parsing.
• Developed REST APIs with Flask, MongoDB, PostgreSQL.
• Applied ML techniques including clustering, regression, NLP, and model selection.
• Designed recommender system schemas for a wellbeing chatbot (Gainownership).
• Built bespoke search tools for patent data (inventtory Ltd).
• Developed ingestion modules for automated data harvesting (Argonaut).
• Cyber security analysis and threat feed development (John Snow Labs).

Junior Developer at Friday Media Group (2013-01 – 2015-12)

• Built hundreds of Kofax Kapow robots for large-scale web extraction.
• Managed backend databases, performed data mapping, and mentored junior developers.
• Developed strong regex, HTML structure, and pattern-recognition skills.

Mathematics modules – Open University

MSc in Animation – Royal College of Art

BA in Fine Art Film & Video – Central St Martins