RD

Raja Dubey

Full Stack Engineer

Full stack engineer with 5+ years of experience building fintech and B2B data intelligence systems across backend services, RESTful APIs, distributed data ingestion, search platforms, and high-performance web applications.

Building Scalable Web Systems & Platforms

I am a Full Stack Engineer with 5+ years of experience building fintech and B2B data intelligence systems across backend microservices, RESTful APIs, distributed data ingestion, search platforms, and high-performance web applications.

At Oxyzo Financial Services and OfBusiness, I have led full-stack delivery of enterprise workflow automation platforms, scaled bidder and company datasets to over 10M+ profiles handling 1M+ daily scraper requests, and optimized SSR applications achieving 95+ Lighthouse performance scores.

I graduated with a Bachelor of Engineering in Computer Science from Government Engineering College, Ujjain.

I focus on robust software engineering, clean design systems, and delivering high-speed, accessible user experiences.

Work

  • Enterprise Workflow Management System – Led full-stack delivery of an organization-wide workflow automation platform for task ownership, priority handling, dependency tracking, and real-time execution visibility.
  • Designed workflow state models, service boundaries, API contracts, and backend integration patterns to support reliable task lifecycle management across interdependent teams.
  • Built scalable application foundations, reusable modules and UI components using bit.cloud.

Education

Government Engineering College2016 – 2020

Bachelor of Engineering in Computer Science

Ujjain, Madhya Pradesh

Projects

pnpm workspaceStorybookNode.jsVerdaccioTypeScriptLLMs
  • Architected a modular development platform where AI agents can discover, compose, and orchestrate reusable UI components, modules, and workflows to generate production-ready applications.
  • Designed a metadata-driven component registry exposing schemas, capabilities, dependencies, and configuration contracts, enabling LLMs to reason about modules instead of generating UI from scratch.
  • Built the platform foundation with versioned packages, Storybook documentation, private registry integration, and standardized module APIs to support scalable AI-assisted application development.
  • Defining a roadmap toward an AI-native app builder that transforms natural language prompts into full-stack applications by composing existing modules, generating business logic, connecting APIs, and producing deployable projects.

Engineering

Languages

JavaScript, TypeScript, Java, SQL, HTML, CSS

Backend

Node.js, Express.js, REST APIs, Microservices, Worker Queues, Spring Boot

Frontend

React.js, Next.js, Redux Toolkit, Zustand, TanStack Query

Data & Infra

MongoDB, MySQL, Redis, AWS Lambda, SQS, Docker, Webpack, RsPack