# Savan Padaliya

> Full Stack AI Engineer specializing in AI integrations, scalable Node.js backend systems, and SaaS development. Available for freelance, consulting, and full-time opportunities.

Savan Padaliya is a Full Stack AI Engineer with 4+ years of experience building intelligent web applications, AI automation pipelines, and production-grade SaaS products. He integrates OpenAI, Gemini, Vertex AI, LangChain, and N8N into real-world products — from WhatsApp AI chatbots to SEO/AEO/GEO optimization bots.

## About

- Full name: Savan Padaliya
- Role: Full Stack AI Engineer
- Experience: 4+ years in JavaScript, Node.js, and AI integrations
- Community: GDG (Google Developer Group) Organiser
- Website: https://www.savanpadaliya.com
- LinkedIn: https://www.linkedin.com/in/savanpadaliya/
- Twitter: https://twitter.com/padaliya_savan

## Services

- [Web & Backend Development](https://www.savanpadaliya.com/): Scalable Node.js APIs, microservices, and full-stack web applications built for production
- [AI Integrations](https://www.savanpadaliya.com/): Chatbots, automation pipelines, and LLM-powered features using OpenAI, Gemini, and LangChain
- [SaaS Development](https://www.savanpadaliya.com/): End-to-end SaaS product development with AI capabilities baked in
- [Technical Consulting](https://www.savanpadaliya.com/about/): Expert guidance on software architecture, AI adoption, and technology strategy

## Tech Stack

- Languages & Frameworks: JavaScript, TypeScript, Node.js, React, Angular, Next.js, Express.js
- AI & Automation: OpenAI API, Gemini API, Vertex AI, LangChain, N8N, Google ADK, Google MCP
- Databases: MongoDB, MySQL, PostgreSQL, Redis
- Cloud: AWS, Google Cloud, Azure, DigitalOcean
- DevOps: Docker, Kubernetes, Nginx, Apache Kafka

## Blog Posts

- [RAG Architecture for JavaScript Developers](https://www.savanpadaliya.com/blogs/rag-architecture-for-javascript-developers/): A practical guide to building Retrieval Augmented Generation pipelines using JavaScript, LangChain.js, and OpenAI — with working Node.js code examples.
- [Vertex AI Setup for Node.js Apps](https://www.savanpadaliya.com/blogs/vertex-ai-setup-for-nodejs-apps/): Step-by-step guide to integrating Google Vertex AI into Node.js — from project setup and authentication to making your first generative AI call.
- [OpenAI vs Vertex AI for Production SaaS](https://www.savanpadaliya.com/blogs/openai-vs-vertex-ai-for-production-saas/): Practical comparison of OpenAI and Vertex AI for teams building production SaaS — covering cost, reliability, model quality, latency, and vendor lock-in.
- [How to Monitor AI Pipelines in Production](https://www.savanpadaliya.com/blogs/how-to-monitor-ai-pipelines-in-production/): How to monitor LLM-powered applications — tracking latency, token usage, error rates, and hallucinations using practical tools and strategies.
- [Setting Up AI Workloads on Google Cloud](https://www.savanpadaliya.com/blogs/google-cloud-ai-setup-guide/): Beginner's guide to setting up AI workloads on Google Cloud — AutoML, Cloud Functions, Cloud Run, and Vertex AI.
- [JavaScript vs TypeScript: The Dilemma](https://www.savanpadaliya.com/blogs/type-or-not-to-type-the-javascript-vs-typescript-dilemma/): Comprehensive comparison of JavaScript and TypeScript — advantages, disadvantages, and when to use each.

## Optional

- [Full content version](https://www.savanpadaliya.com/llms-full.txt)
- [Sitemap](https://www.savanpadaliya.com/sitemap.xml)