AROGYA GARG

● Architected and led the end-to-end implementation of new features, collaborating with the Founders and backend team to define project scope, design architecture, and drive development. ● Identified and optimized slow renderers and redundant code, resulting in a 40% improvement in system responsiveness and user experience. ● Re-architected SPA into MPA to enable shareable user views and routing, while reducing bundle size through route-level code splitting ● Implemented seamless SSO integration with iframe embedding to allow Instamart vendors to access our product directly from Swiggy’s internal dashboard without additional login steps. Led end-to-end development, including secure token-based authentication (Backend, OAuth and JWT) and dynamic iframe rendering (Frontend). ● Leveraged React-Highcharts to develop customized data visualizations, providing stakeholders with intuitive and actionable insights. ● Mentored 3-4 junior engineers through code reviews, architecture discussions, and performance best practices, improving delivery speed and reducing frontend bugs ● Partnered on backend advanced pagination mechanism and business logic to support frontend performance and data-heavy views

Fountain9 - YC’21

● Worked on a large-scale banking application, resolving authentication, login, registration, and payment flow issues while collaborating directly with client stakeholders. ● Built a client-facing inventory and order management web application for a garment design and manufacturing company, supporting real-time inventory, order fulfillment & logistics workflows. ● Designed and implemented role-based access control (RBAC) to support multiple user roles with secure, permission-driven workflows. ● Designed and shipped 30+ production-ready screens, ensuring consistency, usability, and robust frontend testing. ● Improved Core Web Vitals (LCP/FCP from ~60 to ~95, CLS to 0), significantly enhancing performance and user experience.

Accenture

● Worked on computer vision and object detection problems, training and evaluating machine learning models to automate inspection and monitoring workflows. ● Built frontend UIs to visualize object detection outputs (bounding boxes, confidence scores, analytics), enabling non-technical users to interact with and validate ML results.

Multimetals