Generation Life Portal – Financial Services Platform

Tech Stack
The Challenge
The key challenge was building an investment calculator for long-term plans that could handle complex calculations spanning 20–30 years. The initial implementation was unacceptably slow, with some calculations taking 1–2 minutes and others over 10 minutes. This was caused by heavy computation performed on the frontend using raw API data, resulting in poor user experience and delayed interactions.
My Role
I worked as a Front-End Engineer, responsible for improving performance and ensuring accurate, interactive user tools: Integrated APIs and designed the frontend screens. Built the investment calculator to display data dynamically and visually. Restructured API responses for efficiency. Optimized calculations to precompute values where possible. Implemented runtime updates for user-adjusted investment parameters. Coordinated with backend to offload heavy computations.
The Solution
Rather than relying solely on the frontend for complex calculations, I: Restructured API data to reduce computation overhead. Moved intensive calculations to pre-processing, storing intermediate results. Updated the frontend to calculate only incremental changes in real time. Visualized results with responsive, interactive graphs. These changes drastically improved performance while meeting client requirements for accuracy and responsiveness.
Impact
Reduced calculation time from 10+ minutes to a few seconds for long-term plans. Provided a smooth, interactive experience for investment planning. Enabled users to see results instantly across multiple scenarios. Delivered a reliable, scalable solution that supports future growth.
Key Features
Long-term investment calculator with dynamic graph visualization. Efficient API integration for financial data. Performance-optimized frontend computations. Interactive tools for retirement and investment planning. Mobile-responsive and intuitive interface.
Final Takeaway
This project strengthened my ability to identify performance bottlenecks, restructure data flows, and optimize frontend computation — ensuring that even complex financial models deliver a seamless user experience.