Open to full-stack & AI product roles

Full-Stack Developer

Aman ChaubeyBuilding scalable web apps and AI-powered products.

Full-stack engineer with 2+ years shipping production React/Next.js systems, multi-LLM agent workflows, and RAG platforms—focused on architecture, performance, and reliable delivery.

  • React.js
  • Next.js
  • TypeScript
  • Node.js
  • AI/LLMs
  • RAG
View My Work
Download Resume
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Years building
2+
Focus
AI + Web
Based in
Delhi

pipeline · production

live
  1. 1

    Idea

    active

    Clarify product outcomes

  2. 2

    Architecture

    Design modular systems

  3. 3

    Development

    Ship typed, tested code

  4. 4

    AI Integration

    LLMs, agents, and RAG

  5. 5

    Optimization

    Performance & DX

  6. 6

    Production

    CI/CD and reliable deploys

Experience

Shipping production AI products

Enterprise full-stack work across agent workflows, reusable frontend systems, and zero-downtime delivery.

Fluid AI

Full-Stack Developer (React/Next.js)

Jul 2024 – Present

Current role

Full-Stack Developer (React/Next.js)

Building scalable AI-powered enterprise applications with modern React/Next.js architectures and multi-LLM agent workflows.

  • Engineered scalable AI-powered enterprise applications using React.js, Next.js, and TypeScript, improving UI responsiveness and user engagement.
  • Architected and integrated AI agent workflows connecting multiple LLMs and third-party APIs to automate complex business processes.
  • Accelerated development velocity by establishing reusable component architectures and enforcing modern frontend best practices.
  • Streamlined CI/CD pipelines using Docker and GitHub Actions, ensuring seamless deployment and zero-downtime releases.

Stack in this role

React.jsNext.jsTypeScriptLLM IntegrationAI AgentsDockerGitHub ActionsCI/CD

Selected work

Projects with engineering depth

RAG systems, high-performance commerce, and AI-assisted products. Open a case study for architecture and technical decisions.

03 featured

01
Live

AssistOS

End-to-End RAG Platform

Cloud-native RAG application for document ingestion, semantic search, and streamed AI responses with source citations.

  • Document ingestion and semantic search
  • Streaming AI responses with source citations
  • Document chunking and vector embeddings via Gemini + Qdrant
  • Dockerized services with Vercel/Render deployment
Next.jsFastAPIAWSQdrantGeminiDockerVercelRender
View case studyOpen live site
assist-os.vercel.app
02
Live

Polska Nutrition

Premium E-Commerce Platform

High-performance sports nutrition e-commerce platform with optimized Core Web Vitals and ~25% faster Time-to-Interactive.

  • High-performance sports nutrition e-commerce
  • Improved Core Web Vitals
  • ~25% reduction in Time-to-Interactive
  • Advanced image optimization
Next.jsTypeScriptTailwind CSSImage OptimizationCode Splitting
View case studyOpen live site
polskanutrition.com
03
Live

HabitNest

AI-Coached Goal Tracker

MERN application with AI-assisted goal tracking, personalized recommendations, and automated schedule management.

  • AI-assisted goal tracking
  • Personalized recommendations
  • Automated schedule management
  • Full MERN stack architecture
MongoDBExpress.jsReact.jsNode.jsAI Integration
View case studyOpen live site
habit-nest-rust.vercel.app

Skills

An interconnected engineering stack

Hover any technology to reveal how it connects across frontend, backend, and AI infrastructure.

Frontend

Production UI systems with strong DX and performance.

Backend & Databases

APIs, services, and data layers that stay reliable.

AI & Cloud

LLM systems, retrieval, and deployment infrastructure.

Hover or focus a technology to explore connections

Engineering

How I approach software

Principles that shape architecture choices, AI integrations, and day-to-day delivery.

01

Build for production.

Ship systems that hold up under real users—clear architecture, solid error handling, and deployment discipline.

02

Optimize for maintainability.

Reusable components, typed contracts, and modular boundaries so teams can move fast without breaking trust.

03

Use AI where it creates real leverage.

Integrate LLMs and RAG when they improve product outcomes—not as decoration. Ground answers, measure quality.

04

Measure performance.

Core Web Vitals, load paths, and interactivity matter. Optimize images, split code, and cache with intent.

05

Keep systems scalable and modular.

Stateless services, clean APIs, and separation of concerns so features grow without rewriting the foundation.

Recognition

Construct Week Project Winner

3rd Prize — Top 3 among ~300 developers

Recognized for building a standout full-stack project under competitive conditions at Masai School.

Education

Background

Oct 2023 – Jun 2024

Masai School

Bangalore

Full-Stack Web Development

Intensive full-stack engineering curriculum focused on production web development.

Jun 2019 – Jun 2023

Noida Institute of Engineering and Technology

B.Tech

CGPA: 7.6/10

Next opportunity

Let's build something impactful.

Interested in roles focused on scalable products, modern web applications, and AI-powered systems.

Let's ConnectView GitHubLinkedInResume

Contact

Get in touch

Email for opportunities. LinkedIn and GitHub for profile and code.