Portfolio
Solutions Engineering Internship Candidate with experience in data science, cloud solution architecture, workflow design, and cross-functional technical communication. MSc Environmental Data Science and Machine Learning student at Imperial College London, curious about internet infrastructure, DNS, HTTP/TLS, security, performance, and customer-facing technical problem solving.
Section
Translate complex data, cloud, and workflow requirements into architecture diagrams, documentation, and stakeholder-ready materials.
Use SQL, Excel, dashboards, and customer feedback to identify trends, improve processes, and support management decisions.
Design practical documentation and issue-tracking workflows that improve visibility, categorisation, and knowledge sharing.
Section
Section
Built a custom-domain edge configuration demo covering DNS, HTTPS/TLS, redirects, security headers, static asset caching, and response validation.
View walkthroughTranslated streaming and historical data requirements into secure connectivity, access-boundary, and RBAC considerations.
Built an internal SharePoint and Power Apps workflow for document categorisation, recurring issue visibility, and knowledge sharing.
Supported the 0-1 launch of ordering, booking, and payment journeys, then A/B tested flows to improve conversion.