SY

Sarvesh Yadav

As a full-stack SDE, I am driven by a deep curiosity and ambition to achieve mastery in my craft, always seeking innovative solutions. My approach is rooted in idealism and empathy, ensuring that the technology I build not only functions flawlessly but also genuinely serves user needs and contributes positively. I embrace open-mindedness and accountability, constantly learning and taking ownership of my contributions to deliver impactful results.

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Experience

T

Associate

The Judge Group (US-Based Client) · Present

Not yet confirmed
  • 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.
S

SDE1 - Full Stack

Sheshi AI · Present

Not yet confirmed
  • 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.

Skills 0 proven through work

Also works with

Frontend Routing ImplementationCloudflare UsageSubdomain RoutingAd-hoc Task ManagementBull Queue ManagementUI Performance OptimizationAPI Performance OptimizationPerformance TestingApplication Performance OptimizationEdge Case IdentificationWork Planning and PrioritizationWebSocket ImplementationWebhook HandlingEvent-Driven ArchitectureApache KafkaRabbitMQ Message Queue ImplementationTechnology Stack SelectionScalable System DesignProject Architecture PlanningChatbot DevelopmentTaking OwnershipProduct DevelopmentProblem SolvingCustomer Issue ResolutionProduction System MonitoringCybersecurity FundamentalsSecure Data HandlingAPI IntegrationClient-Side Caching StrategiesRedis Cache ImplementationData TransformationCookie-Based Session ManagementClient-Side Data PersistenceUser Interface DesignAWS LambdaCloud MonitoringCustom Domain ConfigurationWorkflow Engine DevelopmentMicroservices ArchitectureVector Database UsageRetrieval-Augmented GenerationLLM Application IntegrationAI Tool EnablementCustomer Relationship BuildingCustomer ServiceRelease ManagementSystem EnhancementData MigrationDatabase ManagementBackend DevelopmentFront-end DevelopmentApplication DeploymentFull-stack DevelopmentMulti-Tenant Architecture DesignData ModelingRBAC Module DevelopmentAPI Authentication ImplementationSaaS Platform Development

Proof of Work

Proof of Work

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Education

BTech, Electronics and Communications Engineering

Poornima College of Engineering · 2018 — 2022

Certification/Training, Full-Stack Developer

Masai · NaN — NaN

Links

LinkedIn

linkedin.com/in/sarvesh-yadav-84bb53150

Projects

AI Incident Intelligence Platform

incident-intelligence-platform-psi.vercel.app

AI Portfolio Website with Intelligent Chatbot

sarvesh-yadav-portfolio.vercel.app

Contact details

Contact details

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