Summary
John Nana is a results-driven software engineer based in London with 11 years of experience building production systems for financial services, specialising in TypeScript/React front ends and AI-driven workflow automation. At JPMorgan Chase he has led UI development for trade-management and payments platforms, cutting key task times and shipping features that materially improved mark-to-market accuracy and operational efficiency. He pairs front-end leadership with hands-on backend and data work—designing APIs, search tooling and ML/NLP pipelines—and has prototyped RAG-style assistants to automate support workflows. Comfortable in regulated environments, he focuses on observability and pragmatic, end-to-end solutions that bridge product, operations and engineering. His background in applied data analytics and contributions spanning Node.js, Python and blockchain tooling reflect a curiosity for combining ML, semantic search and practical engineering to unlock domain-specific automation.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science in Computer Science, Bachelor of Science in Computer Science at University of Lagos
MSc Applied Data Analytics, MSc Applied Data Analytics at Bournemouth University