I am a software engineer with an MSc in Cybersecurity and practical experience in data processing, REST API integration, and full-stack development.
I have worked with Python, SQL, PostgreSQL, JSON, and structured data normalization and validation, building reliable workflows for internal and product-facing systems.
In my recent work, I integrated AI-assisted tooling such as Claude Code and GitHub Copilot to speed up delivery while maintaining code quality through testing and disciplined Git-based workflows.
I have experience building cross-platform applications with Next.js and React Native, as well as implementing backend integrations with Auth0, Firebase, Redis, and CI/CD pipelines.
Previously, I supported production PostgreSQL databases and wrote ETL scripts in Python, improving query performance and data processing throughput for business-critical operations.
I am looking for a junior software engineering role where I can continue growing in data pipelines, internal API integrations, and production system fundamentals within a remote, collaborative team.
Integrated Claude API for processing structured allergen data, automating ingredient scanning and risk analysis. Built a cross-platform application in Next.js and React Native with shared business logic. Implemented REST API integrations with Auth0 and Firebase and added Redis caching to improve response times. Used AI-assisted development tools and Git-based workflows to deliver features efficiently while maintaining quality.
Administered production PostgreSQL databases, wrote complex queries, and optimized indexing strategies to improve query performance. Created Python ETL scripts for migrating legacy data pipelines and normalizing structured records. Collaborated with engineering teams to diagnose performance bottlenecks and improve database reliability for critical business operations.
MSc, Cybersecurity
Distinction. Master's thesis on adversarial machine learning attacks on intrusion detection systems (IDS).
BSc, Computer Science
First Class Honours. Thesis on quantitative market prediction using Point and Figure charts and machine learning; awarded best dissertation project of the year.
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