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Tuhin Shaikh

Tuhin Shaikh

Computer Science graduate from Royal Holloway, University of London

Talent
LondonMember since July 30, 2026
JavaJavaScriptReactNode.jsSQLSpring BootGitDockerAWSPostgreSQLMongoDBRESTful APIsAgileComputer Vision
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About

Computer Science graduate from Royal Holloway, University of London. Built and shipped production backend systems at a fintech platform serving 150,000+ merchants. Delivered community engagement and supporter liaison across 60,000+ capacity matchdays at West Ham United. Skilled in Java, Spring Boot and cloud deployment.

Experience

Supporter Liason Officer - West Ham United

(2023-08 - 2026-07)

  • Improved supporter satisfaction across 60,000+ capacity matchdays by resolving queries and escalating issues to relevant departments, acting as the primary liaison between fans and club operations.
  • Strengthened communication across diverse supporter groups by coordinating matchday activities.
  • Enhanced club-supporter relationships by facilitating structured feedback channels between supporters.

Technology Intern - CFBL Consulting

(2024-06 - 2024-07)

  • Increased client conversion rates by 25 percent by developing and deploying three responsive web applications using JavaScript, RESTful APIs, and Git-based version control workflows.
  • Improved page load performance by 40 percent by implementing asynchronous resource loading, browser profiling, and frontend optimisation techniques.
  • Improved cross-browser reliability across four major platforms by designing automated regression testing pipelines and structured QA validation processes.

Technology Intern - DOJO

(2022-06 - 2022-08)

  • Reduced page load time by 50 percent for 150,000+ merchants processing GBP 171M annually by implementing lazy loading and asynchronous rendering strategies.
  • Improved dashboard responsiveness for 4,000+ daily transactions by integrating concurrent REST API data-fetching mechanisms into React-based analytics components.

Website Developer - WalkUp by DOJO

(2022-02 - 2022-05)

  • Achieved 99.9 percent uptime while handling 500+ concurrent requests by developing a Node.js backend with MongoDB and implementing asynchronous request handling.
  • Improved database query performance by 60 percent by designing indexed schemas and optimising query execution plans.
  • Enhanced platform accessibility to WCAG 2.1 AA standards by implementing semantic HTML and structured keyboard navigation.

Education

BSc - Computer Science - Royal Holloway, University of London (2023-09 - 2026-06)

Skills

Computer Science graduate from Royal HollowayUniversity of London

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