Resume

• Spearheaded the architecture, delivery, and operation of a production authentication platform, ensuring high availability and security.
• Designed and implemented a modular IAM (Identity and Access Management) system, streamlining authentication workflows across multiple services.
• Built scalable Django backend services, optimised for cloud environments using Docker and Kubernetes for containerisation.
• Introduced automated CI/CD pipelines, reducing deployment friction and improving continuous delivery pipelines.
• Enhanced platform resilience through Redis-based rate limiting, integrated breach detection, and malware scanning APIs, implementing security-first infrastructure practices.
• Led technical roadmap decisions and aligned engineering efforts with business stakeholder goals.

• Developed Python and SQL-based data pipelines to process operational telemetry and performance metrics for improved data analysis.
• Designed automated ETL workflows, enabling near real-time monitoring and data visualisation.
• Contributed to ISO 50001 energy optimisation through advanced analytics and system modelling.
• Reduced manual reporting overhead by automating data workflows, fostering a data-driven decision-making culture.

Impact: Enhanced operational decision-making capabilities, enabling more efficient use of energy resources.

• Owned internal tooling and workflow architecture, driving collaboration between product and engineering teams.
• Improved system adoption by 60% through the automation of processes and a redesign focused on usability.
• Acted as a liaison between engineering, product management, and business stakeholders, ensuring alignment with business goals.
• Standardised technical documentation, improving onboarding speed and delivery velocity.

• Automated blockchain data analysis using Python scripts, processing over 1,000 datasets for actionable insights.
• Reduced analysis turnaround time by 50% through improved data processing workflows.
• Delivered insights on blockchain ecosystem growth, supporting product strategy and investment decisions.
• Collaborated within Agile sprint cycles alongside engineering and marketing teams.

• Developed automated reporting systems and dashboards, providing real-time visibility into programme performance.
• Digitised organisational data workflows, reducing administrative overhead and improving reporting accuracy.

• Dissertation: Developed a Python-based model for predicting policy-driven renewable energy adoption, incorporating systems analysis and data modelling.
• Key modules: Data & Decision Analysis, Systems Modelling, Research Methods