Manvendra Singh

Worked on product UI backed by real operational data, with an emphasis on performance, query shape, and safe delivery.

• Built and improved data-heavy interface flows.
• Used smaller payloads and lazy loading to keep secondary UI off the critical path.
• Worked in reviewable, reversible changes and documented what I learned.

Teach Python to primary and secondary students, turning programming concepts into lessons people can actually follow.

• Teach classes of 20-25 students.
• Design practical lessons around computational thinking.

Worked on a small high-performance computing cluster built from Raspberry Pi hardware, Go, Docker, and Linux networking.

• Explored scheduling containerised workloads across a mini-cluster.
• Configured DHCP and network communication between cluster nodes.

Contributed to a data orchestration product using React, Node.js, Express, MongoDB, Docker, AWS, and Jenkins.

• Refactored redundant JavaScript and reduced documented technical debt by 55%.
• Hardened 23 endpoints and supported QA, regression testing, and UAT fixes.

An interactive Vega-Lite project that turns several energy datasets into linked comparisons across countries, continents, and time.

A playful task-planning prototype that combines scheduling, a Gantt view, and game-like rewards in a Next.js interface.

A React Native concept for checking hydration trends and keeping an eye on family members from one mobile flow.