---
title: "Sarvesh Yadav - SDE in Bengaluru | Tal"
description: "Meet Sarvesh Yadav, Software Development Engineer | Next.js | Node.js| AI Workflow | AWS based in Bengaluru. AI stack includes antigravity, claude code, and codex. Explore public work links including github and sarvesh-yadav-portfolio.vercel.app."
image: "https://tal.club/meet/sarvesh-yadav/share-image"
---

# Sarvesh Yadav on Tal

## Headline

Software Development Engineer \| Next\.js \| Node\.js\| AI Workflow \| AWS

## About

\-Software Development Engineer experienced in building scalable multi\-tenant SaaS platforms using Next\.js and modern backend systems\. \-Specialized in authentication, authorization, session security, and performance optimization, with proven impact in reducing load times from \~6 seconds to under 500 milliseconds\. \-Strong in designing scalable and secure systems with seamless user experience

## Location

Bengaluru

## AI stack

antigravity

claude code

codex

cursor

gemini

ollama

## Work experience

SDE at Sheshi AI, Mar 2025 \- Present · 1 yr 6 mos, Bengaluru, Built and scaled full\-stack SaaS applications using Node\.js, React, and Next\.js, powering authentication, AI workflows, session management, and multi\-tenant business operations\. • Designed and implemented a multi\-tenant RBAC system using JWT authentication, secure cookies, role\-based authorization, and tenant isolation, supporting 1,000\+ concurrent organizations\. • Engineered subdomain\-based routing and custom domain mapping, enabling white\-labeled tenant experiences and scalable onboarding for enterprise customers\. • Integrated Redis caching and Pub/Sub messaging to optimize service communication, reducing database load by \~40% and improving API response latency\. • Built real\-time communication features using Socket\.io and WebSockets, enabling low\-latency synchronization between backend services and Next\.js applications\. • Developed reusable React\.js and Next\.js component systems while optimizing SSR/SSG, lazy loading, code splitting, and data\-fetching strategies, reducing page load times from \~6 seconds to under 500ms \(12x improvement\)\. • Developed event\-driven workflows using AWS Lambda and leveraged CloudWatch for centralized monitoring, logging, and production issue diagnosis\.

Full\-Stack Program at Masai, Aug 2024 \- Mar 2025 · 8 mos, Bengaluru, Full Stack training program to up\-skill\. Built scalable RESTful APIs using Node\.js and Express\.js across 6\+ production\-grade projects\. Designed microservice architectures with stateless services and horizontal scaling to handle high concurrent user loads\. Implemented JWT authentication, PostgreSQL/MongoDB schemas, and query optimization for performance under load\. Developed responsive Next\.js / React\.js frontends with Redux state management, SSR/SSG, and code splitting — improved Lighthouse scores by 30%\+\. Practised Agile sprint cycles, peer code reviews, unit testing, and end\-to\-end test execution across all projects\.

Associate at The Judge Group, Jul 2022 \- Aug 2023 · 1 yr 2 mos, Noida, • Contributed to internal web application development using React\.js and Node\.js\. • Assisted in building REST API integrations and data workflows across client\-facing systems\. • Worked closely with engineering teams on requirement gathering, testing, and feature delivery\. • Collaborated with US\-based stakeholders to translate business requirements into technical specifications\.

## Education

Bachelor of Technology \- BTech, Electronics and Communications Engineering, Poornima college of engineering

Schooling, Hindustan international academy

## Public links

- github: https://github\.com/sarveshyadav21
- sarvesh\-yadav\-portfolio\.vercel\.app: https://sarvesh\-yadav\-portfolio\.vercel\.app/

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

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