---
title: "Khusboo Kumari - SDE-2 in Bengaluru | Tal"
description: "Meet Khusboo Kumari, Software Engineer · 5+ YOE | React · Next · Node.js · Java | Frontend & Full-Stack | SDE-2 at Best Buy | Ex - Happay(CRED) based in Bengaluru. AI stack includes antigravity, codex, and cursor. Explore public work links including github."
image: "https://tal.club/meet/khusboo-kumari/share-image"
---

# Khusboo Kumari on Tal

## Headline

Software Engineer · 5\+ YOE \| React · Next · Node\.js · Java \| Frontend & Full\-Stack \| SDE\-2 at Best Buy \| Ex \- Happay\(CRED\)

## About

I'm a full\-stack software engineer with 5\+ years of experience building web applications across the entire stack, from Next\.js frontends and React component systems to backend integrations, REST APIs, and AI\-powered workflows\. Currently at Best Buy, I work on omnichannel digital products that serve millions of customers across web and other platforms\. One of the more exciting things I've worked on recently is integrating AI agents as live agents into customer\-facing workflows, bridging the gap between intelligent automation and real human experiences\. Before Best Buy, I spent nearly 4 years at Happay \(CRED\), an enterprise SaaS expense management platform, where I owned products end\-to\-end across Travel, Vendor, Cards, and Analytics, building from scratch, integrating APIs, and contributing to a shared component library used across teams\. What I bring: → Full\-stack ownership, comfortable from UI to API to deployment → Experience with AI/LLM integration into production workflows → Strong React and Next\.js fundamentals with a focus on performance, SSR, and scalability → A track record of shipping features used by millions of real users → Clear communication across design, product, and backend teams Open to Senior Frontend or Full\-stack roles where I can keep building products at scale\. 📍 Bengaluru, India \| 🔗 https://github\.com/khush611

## Location

Bengaluru

## AI stack

antigravity

codex

cursor

## Work experience

SDE\-2 at Best Buy, Dec 2024 \- Present · 1 yr 9 mos, Bengaluru, Karnataka, India, Working on omnichannel digital products at Best Buy, building across the full stack to deliver seamless customer experiences across web and connected platforms\. Spearheaded architecture and frontend system design for Best Buy's real\-time customer communication platform, spanning chat, video\-assisted support, and multimedia interactions across web and mobile, serving millions of users\. Designed and implemented enterprise\-scale conversational flows using Google Dialogflow CX \(DFCX\) Conversational Gen AI, enabling seamless transitions between automated chat and live video assistance\. Built scalable, high\-traffic frontend systems using TypeScript, React, and Next\.js \(SSR\), creating reusable component libraries aligned with the design system and optimized for Core Web Vitals and media\-rich user journeys\. Architected video\-enabled support workflows, engineering in\-chat video UI states including session lifecycle, connection indicators, fallbacks, and responsive user prompts across devices and network conditions\. Developed a Global Search feature for support agents using SSR and optimized data\-fetching patterns, improving agent efficiency by 30%\. Built a Reporting & Insights platform from scratch with responsive design and data visualization, tracking CSAT, FRT, AHT, and customer journeys across chat and video touchpoints\. Implemented multimedia messaging support \(image uploads, file previews, emojis\) and automated end\-to\-end testing using Jest and Cypress, increasing customer engagement by 25%\. Set technical standards and drove code quality through architecture reviews; partnered with designers, backend engineers, and product stakeholders in Agile \(Scrum\)\. Integrated Sentry and Grafana for error tracking, performance monitoring, and alerting, reducing MTTR by 15%\.

Software Engineer at Happay \- Expense Management Solution for Businesses, Jan 2021 \- Nov 2024 · 3 yrs 11 mos, Bangalore Urban, Karnataka, India, I constantly work on new features and bugs across the products\. Also built some products from scratch\. Some of the products where my key contrubtion is : Travel , Vendor, Cards, Widgets, Analytics, CTA, Epic\+\. Widgets: Built NPM library of customizable components to be used across all our products, reducing the delivery time for features upto 70%\. Analytics: Built features to offer real\-time insights for businesses through reports and visualizations\. This lead to cost reductions of up to 12\-15% for finance teams and 10\-12% savings on travel bookings\. Epic: Built the product from scratch within a PWA and RWD framework which improves cash flow and saves time and resources through streamlined expense management, potentially reducing processing costs by up to 36%\. Invoice: Built the product from scratch, which automates invoice processing for businesses using OCR technology to capture data, streamline approvals, and schedule payments\. Travel: Built booking, cancellation and other intrinsic features for flights, cabs, trains, buses and hotels\. Also developed modules such as advance booking and daily allowance\. Expense: Built features contributing to seamless expense management for client companies\. Optimized and refactored the code base which reduced the dependency on third party libraries by 20%\. Cards: Led the development of crucial features in the modules of managing cards, users, flex benefits, payroll of complete cashless salary managements, wallet load, spent data visualization\. Mitigated risks and ensured system resiliency by resolving 500\+ issues till date\. Managed large scale projects by guiding and mentoring new joinees with focus on timely deliverables along with ensuring no quality compromises\. Improved code quality through refactoring and code reviews by 30%\. Conducted learning sessions with focus on self improvement and enhancing skillsets of all by learning and teaching about new technologies and practices\.

Student Intern at CLUSTER INFOTECH PVT\. LTD\., Jun 2019 \- Aug 2019 · 3 mos, Bangalore, Image Detection Using Neural Networks: Training and Testing CNN Model

## Education

Bachelor of Engineering \- BE, Computer Engineering, Sjb institute of technology

## Public links

- github: https://github\.com/khush611

[View the original profile](https://tal.club/meet/khusboo-kumari)

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