A passionate Full Stack Developer who enjoys building thoughtful, reliable, and meaningful web experiences. I love turning ideas into well crafted digital products that feel intuitive, responsive, and genuinely useful. With a strong problem-solving mindset and a deep care for user experience, I thrive on creating applications that balance clean engineering with creative expression bringing technology and people closer through purposeful design.
About Me
Hello, I’m Nidhi Patel, a passionate Full Stack Developer building high-performance web applications across creator platforms, healthcare systems, AI tools, logistics software, and enterprise SaaS products.
I specialize in crafting clean, scalable systems using React, Next.js, Node.js, GraphQL, TypeScript, and cloud-native architectures. I believe great products are built through thoughtful design, strong architecture, and close collaboration with cross-functional teams.
From mentoring frontend teams to architecting AI-powered platforms, I focus on building meaningful digital experiences that are future-ready.
Years of hands-on experience in full stack engineering
- ⚡ High-performance React & Next.js apps
- 🧠 AI-driven product architecture
- ☁️ Cloud-native & serverless systems
- 🔐 Secure & scalable backend design
- 🎯 User-centered product thinking
Engineered and scaled a global creator-focused social platform enabling organizations and artists to publish, curate and discover multimedia content. Led migration from Firebase to a GraphQL + PostgreSQL architecture for improved scalability and data integrity, implemented Instagram import pipelines, built creator collections and discovery systems, optimized Redux-Saga workflows, and ensured high-availability deployments on AWS.
- Next.js
- Node.js
- GraphQL
- PostgreSQL
- Redux-Saga
- AWS
Designed and engineered a modern booking and scheduling platform with real-time availability management, conflict-free scheduling logic, reusable GraphQL APIs, Stripe payment workflows, and automated CI/CD deployments on AWS ECS.
- Next.js
- Node.js
- GraphQL
- PostgreSQL
- TypeScript
- Stripe
Rebuilt the entire frontend architecture of a high-traffic digital content marketplace using Nuxt.js and TypeScript, designed modular UI systems, implemented SEO and static generation pipelines, integrated secure Laravel APIs, migrated large-scale media workflows to AWS, and established CI/CD automation for production delivery.
- Nuxt.js
- Vue.js
- TypeScript
- Tailwind CSS
- Laravel
- AWS
Led frontend architecture and delivery of a multi-tenant schema versioning system by building modular UI components, implementing OAuth onboarding flows, managing sprint planning and code reviews, and optimizing performance through static generation and dynamic routing.
- Next.js
- TypeScript
- Tailwind UI
- OAuth
- REST APIs
Architected frontend systems for a secure healthcare collaboration platform, designed peer-to-peer clinical workflows, collaborated on GraphQL APIs, and enforced testing, CI/CD, and code quality standards across the engineering team.
- Next.js
- TypeScript
- GraphQL
- OAuth
- REST APIs
Built a MERN-based logistics optimization system including shipment scheduling, automated billing, driver management, analytics pipelines, and optimized MongoDB schemas to support high-volume operations.
- React.js
- Node.js
- Express.js
- MongoDB
- AWS
Engineered a real-time AI design generation platform integrating Replicate API, Supabase authentication with Row Level Security, and responsive Next.js UI systems for a production-grade generative experience.
- Next.js
- TypeScript
- Supabase
- PostgreSQL
- Replicate API
Founded and architected an AI-driven telemedicine system combining behavioral science, adaptive engagement, gamification, telehealth workflows, and scalable AWS infrastructure to improve patient outcomes and retention.
- Next.js
- Prisma
- PostgreSQL
- AWS
- Docker
- Stripe
Designed and built a production-grade AI control plane enabling enterprise teams to orchestrate intelligent agents through graph-based workflows, versioned prompt systems, configurable memory, tool execution layers, and LLM-agnostic pipelines using LangChain and LangGraph.
- LangChain
- LangGraph
- TypeScript
- Node.js
- AI Agents