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Anurag Singh

Software Engineer · Web Accessibility · Full Stack

I build accessible products and AI systems that ship.

React · Next.js · Node.js · LLMs · RAG · WCAG 2.x

4+ years shipping production full-stack applications — from accessible UI and REST APIs to LLM integration and AWS deployment.

Anurag Singh, software engineer and full stack developer

Experience

Where I've shipped.

4+ years building production systems — ecommerce platforms, healthcare products, and AI integrations.

  1. Building production features for a multi-tenant e-commerce and logistics platform — full-stack delivery with accessibility, API design, and LLM integration.

    Tenure

    3+ years

    Domain

    Ecommerce Ecosystem

    Focus

    Full Stack + AI

    Key responsibilities

    • Ship full-stack features with React, JavaScript, Node.js, and MongoDB for a multi-tenant e-commerce platform.
    • Build reusable UI with semantic HTML, WCAG 2.x, and WAI-ARIA — including keyboard and screen-reader testing.
    • Design and optimize REST APIs; collaborate on technical design, code reviews, testing, and deployment.
    • Integrate LLMs and AI APIs into product workflows where they add clear operational value.

    Achievements

    • Improved platform API performance by 30% through optimization and better service design.
    • Remediated accessibility issues across focus, labels, navigation, and interactive controls.
    • Delivered production features across catalog, inventory, order, and admin systems.

    Technologies

    ReactNode.jsExpressMongoDBTailwind CSSPythonFastAPIAWSREST APIsGraphQLMicroservicesLLMsKafkaWCAG 2.xWAI-ARIA

Education

B.Tech. Computer Science & Engineering

Jawaharlal Nehru College of Technology, RGPV · Rewa, Madhya Pradesh

2019 — 2023

Jawaharlal Nehru College of Technology, RGPV

Rewa, Madhya Pradesh

CGPA

8.71

Relevant coursework

Data Structures & AlgorithmsObject-Oriented ProgrammingDatabasesOperating SystemsComputer NetworksMachine Learning

AI Journey

From products to intelligence.

4 years shipping software — now building AI into everything I make.

  1. 01

    Full Stack

    Shipped end-to-end products — UI, APIs, data, deploy.

  2. 02

    Backend

    APIs, data models, and systems that scale with the business.

  3. 03

    Automation

    Cut manual ops work with reliable software workflows.

  4. 04

    LLMs

    Built product features powered by language models.

  5. 05

    RAG

    Grounded AI answers in real product and domain data.

  6. 06

    ML

    Models, evaluation, and data-first problem solving.

  7. 07

    AI Engineer

    Shipping production AI products people can trust.

Skills

Skills from production work.

Full-stack engineering, web accessibility, cloud deployment, and AI integration — grouped by capability.

Languages

Core languages for full-stack and AI development.

JavaScriptTypeScriptPythonSQLC/C++

Frontend

Accessible, responsive product interfaces.

React.jsNext.jsHTML5CSS3Tailwind CSSSemantic HTMLWCAG 2.xWAI-ARIA

Backend

APIs, services, and real-time systems.

Node.jsExpress.jsFastAPISpringREST APIsGraphQLMicroservicesWebSockets

Databases

Relational, NoSQL, and vector storage.

MongoDBPostgreSQLMySQLRedisDynamoDBSQLiteFirebaseQdrant

AI & ML

LLM integration, RAG, and AI-assisted development.

LLMsOpenAIRAGAI AgentsNLPEmbeddingsPrompt EngineeringGoogle Gemini APIMachine Learning

DevOps & Tools

Cloud, containers, CI/CD, and engineering workflow.

AWSAzureDockerKubernetesGitGitHub ActionsGitLab CIKafkaLinuxPostman

Engineering Impact

4+

Years Experience

Production full-stack applications across ecommerce and healthcare

30%

API Performance Gain

REST API optimization on a multi-tenant ecommerce platform

20%

Faster Delivery

TDD practices during MERN stack internship at SortWind

WCAG 2.x

Accessibility

Semantic HTML, WAI-ARIA, keyboard and screen-reader testing

Projects

Selected work.

Production platforms and AI systems — focused on real problems, clean architecture, and shipped outcomes.

Enterprise Agentic Assistant — Kubernetes RAG preview
AI · RAG · Kubernetes2025

Enterprise Agentic Assistant — Kubernetes RAG

RAG-powered agent for querying Kubernetes docs in natural language

Enterprise-grade RAG assistant that lets teams query Kubernetes documentation through natural language — with context-aware retrieval and agentic workflows.

  • Built RAG pipeline with embeddings and Qdrant for Kubernetes documentation retrieval.
  • Integrated LLMs and OpenAI for context-aware, grounded responses.
  • Shipped customer-facing React/Node.js interface for the knowledge base.
  • Designed agentic workflow for multi-step documentation queries.
RAGLLMsOpenAIEmbeddingsQdrantAI AgentsKubernetesReactNode.js
AI Cancer Diagnose preview
AI · Healthcare2024

AI Cancer Diagnose

AI-powered diagnostic tool with dynamic clinical question flows

Diagnostic application integrating Google Gemini for dynamic clinical question flows, automated risk analysis, and secure end-to-end data handling.

  • Integrated Google Gemini API for dynamic clinical question flows and risk analysis.
  • Built Node.js backend with API orchestration, validation, and secure data handling.
  • Delivered React frontend with Tailwind CSS for a clean clinical UX.
  • Connected MongoDB for patient/session data across the full stack.
ReactNode.jsExpressMongoDBTailwind CSSGoogle Gemini APIPrompt Engineering
Live demo
Ayum Healthcare Platform preview
Healthcare · Full Stack2022–2023

Ayum Healthcare Platform

Full-stack healthcare platform — zero to production

End-to-end healthcare platform with accessible UI, REST APIs, WebSockets, authentication, and production deployment — led as CTO.

  • Architected full-stack platform with React, Node.js, Express, and MongoDB.
  • Implemented WCAG 2.x / WAI-ARIA accessibility across forms, navigation, and controls.
  • Built REST APIs, JWT auth, WebSocket features, and secure application workflows.
  • Led development, code reviews, testing, and Agile delivery end-to end.
ReactNode.jsExpressMongoDBWebSocketsAzureJWTWCAG 2.xWAI-ARIA
GitHubLive demo
Tourplanner AI preview
LLM Application2024

Tourplanner AI

Conversational trip planning with AI assistance

Full-stack tour planning product with chatbot-assisted itinerary generation — users explore and refine travel plans through natural conversation.

  • Built Next.js frontend with conversational UI for guided itinerary creation.
  • Integrated chatbot workflows for destination, budget, and preference planning.
  • Deployed as a production web application on Vercel.
Next.jsReactNode.jsAI UXVercel
GitHubLive demo

Engineering Philosophy

How I think about building.

A concise operating system for solving problems, learning in public through projects, and shipping software that lasts.

01

How I solve problems

I start from the business constraint, not the framework. Clarify the failure mode, define the smallest reliable interface, then iterate with measurable outcomes.

02

How I learn

I learn by building. Foundations first — systems, data, and evaluation — then apply them in projects that resemble production constraints.

03

How I build scalable systems

Clear boundaries, boring reliability, and extensible design. Prefer maintainable architecture over clever abstractions that only the author understands.

04

Why AI excites me

AI is leverage on knowledge work. The opportunity is not demos — it is reliable systems that retrieve, reason, and act with software-grade accountability.

05

Production software mindset

Ship what operators can trust: observability, graceful failure, clean contracts, and code that the next engineer can extend without archaeology.

Contact

Let's connect.

Open to full-stack, accessibility, and AI engineering roles. Based in Rewa, India — available remote.

Email meView Resume
EmailAnuragsinghg999@gmail.com
LinkedInProfessional profile
GitHubCode & experiments
ResumePDF download