---
title: "Yogendra Singh - Associate Software Development Engineer 2 in Gurugram | Tal"
description: "Meet Yogendra Singh, Associate Software Development Engineer 2 @ Publicis Sapient | Driving E-commerce Solutions based in Gurugram."
image: "https://tal.club/meet/yogendra-4/share-image"
---

# Yogendra Singh on Tal

## Headline

Associate Software Development Engineer 2 @ Publicis Sapient \| Driving E\-commerce Solutions

## About

As an Associate Software Development Engineer 2 at Publicis Sapient, I specialize in driving e\-commerce platform optimization and architectural enhancements\. My work includes leading the migration of Coppel’s e\-commerce platform to a micro\-frontend architecture using Next\.js, React, and GraphQL, resulting in reduced page load times and improved SEO rankings\. I also designed a reusable atomic design system with accessible UI components, adopted across multiple applications to improve consistency and onboarding efficiency\. With a Bachelor of Technology in Computer Engineering from IIIT Dharwad, I bring a strong foundation in software development\. My focus lies in utilizing tools like React, Next\.js, Go, and GraphQL to deliver scalable, user\-centric solutions\. I prioritize collaboration, accessibility, and performance, working with teams to enhance workflows and achieve impactful outcomes in e\-commerce projects\.

## Location

Gurugram

## Work experience

Associate Software Development Engineer 2 at Publicis Sapient, Sep 2024 \- Present · 1 yr 11 mos, India, • Proposed and drove adoption of SSR over CSR for SEO\-critical pages; led migration of Coppel’s e\-commerce monolith to micro\-frontend architecture \(Next\.js, React, GraphQL\) for 500K\+ users – cutting load time by 45% \(3\.2s → 1\.8s\) and lifting SEO rankings by 30%\. • Designed a company\-wide atomic design system– 50\+ accessible UI components built with Chakra UI and documented in Storybook with design tokens – adopted across 4 apps, cutting design inconsistencies by 60% and onboarding time by 40%\. • Led cart and payment workflows across GoLang microservices and Next\.js; engineered RFC ID handling for international SKUs and soft\-reservation logic \(20\-min expiry \+ re\-reservation\) – reducing cart abandonment by 18% and achieving 99\.2% transaction success rate\. • Delivered conversion\-critical features – PLP filters/sorting, quick\-view modals, FlexMedia PDP assets – increasing engagement by 25% and conversion by 15%; presented sprint progress and roadmap updates to Coppel client leadership bi\-weekly\. • Spearheaded Core Web Vitals initiative \(LCP, CLS, FID\): semantic HTML, lazy loading, WCAG 2\.1 AA compliance – boosting Lighthouse scores by 35% and sustaining 99\.8% platform uptime\. • Hardened kiosk security via fingerprint validation, cutting auth errors by 40%; maintained 90% unit test coverage with Jest and React Testing Library; reduced bugs by 35% via SonarQube and GCP monitoring\. • Mentored 3 junior engineers through structured code reviews, pair programming, and weekly technical sessions; defined team\-wide engineering standards for component architecture and testing practices\.

Associate Software Development Engineer 1 at Publicis Sapient, Jun 2022 \- Sep 2024 · 2 yrs 4 mos, Bengaluru, Karnataka, India, Built scalable React/Next\.js multi\-app architecture \(Product App &amp; Home App\) for Colgate’s global e\-commerce platform – product bundles, advanced filters, and site\-wide search, increasing engagement by 40%\. • Crafted responsive, mobile\-first UIs with Tailwind CSS ensuring WCAG 2\.1 AA compliance and cross\-browser compatibility – improving usability by 30% and reducing mobile bounce rate by 25%\. • Established React Testing Library and SonarQube quality standards across the team, achieving 80% test coverage and reducing bug escape rate by 28% over two release cycles\.

Data Science Intern at Technocolabs Softwares, May 2021 \- Jun 2021 · 2 mos, Rewa, Madhya Pradesh, India, I worked with Technocolabs to develop and implement machine learning models for stock price prediction, focusing on optimizing model accuracy\. I fine\-tuned an LSTM model to improve predictive precision and deployed the final solution over stremlit for practical application\. This experience deepened my understanding of model integration, data processing, and hyperparameter tuning for real\-world performance\.

## Education

Bachelor of Technology, Computer Engineering, indian institute of information technology dharwad

High School Diploma, Maharaja public school, Satna M\.P\.

[View the original profile](https://tal.club/meet/yogendra-4)

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