Jadindu Dilshan

Software Engineer (Remote) at Rhino Partners

Co-architected the frontend of a greenfield financial data platform for investors to analyze company performance, funding, and market metrics at scale. Built on Next.js, React, and AWS to support thousands of concurrent users with high availability. Implemented high-performance data visualizations and interactive tables rendering millions of rows of financial data—funding rounds, investor portfolios, deals, and transactions—without UI blocking. Optimized state management and data fetching across heavy dashboards using Zustand and React Query, cutting perceived load times by approximately 40–50% and eliminating redundant API calls.

Software Engineer at Villays Systems (Pvt) Ltd

Fixed-term contract to execute a delayed e-commerce launch; onboarded mid-project with an aggressive go-live deadline. Rapidly assessed and refactored a fragmented Next.js/React codebase, resolving accumulated technical debt and delivering a launch-ready frontend.

Software Engineer at Aeronology

Remote software engineer delivering full-stack features using AWS Lambda, DynamoDB, and S3 with a React/Node.js/.NET ecosystem. Core contributor on the full rewrite of Aero Control, migrating a legacy Vue.js architecture to a modern React stack. Implemented React Query with advanced caching strategies within a BFF architecture, cutting baseline load times by 35%. Drove API migration from GraphQL to REST, eliminating data payload bottlenecks and stabilizing end-to-end data handling.

Software Engineer (Intern) at Aeronology

Intern delivering full-stack features using AWS Lambda, DynamoDB, and S3 with a React/Node.js/.NET ecosystem. Contributed to Aero Control rewrite, migrating from Vue.js to React and applying caching strategies in a BFF architecture to improve performance.

Software Engineer at Villvay Systems (Pvt) Ltd

Delivered a launch-ready e-commerce frontend by rapidly refactoring a fragmented Next.js/React codebase, implementing advanced state management with Zustand and React Query, optimizing data fetching, and reducing perceived load times by 40-50% while eliminating redundant API calls on high-traffic views. Coordinated with a fast-moving team to meet a tight go-live deadline.