Rakesh Kaklotar
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Hello, I'm

Rakesh Kaklotar

Senior Full Stack Engineer | AI & Cloud Engineer | AWS Certified

10+ years building scalable SaaS products, AI-powered applications, cloud-native systems, and real-time platforms. I work across the full stack — from frontend and backend to AI systems, cloud infrastructure, and production deployment.

Open to work🌍 Remote · Worldwide
React / Next.js.NET CorePython / FastAPIAI Agents & RAGAWS CertifiedLangChain

10+

Years Exp.

50+

Clients

40+

Projects

70+

Websites

Rakesh Kaklotar — Senior Full Stack Engineer & AI Engineer professional headshot
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10+ Years

Experience

☁️

AWS Certified

SA Associate

🌍

Remote

Worldwide

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About Me

Senior Full Stack & AI Engineer — Rakesh Kaklotar

I'm Rakesh Kaklotar, a Senior Full Stack & AI Engineer based in Surat, Gujarat, India. With 10+ years of experience, I design and build scalable SaaS products, AI-powered applications, RAG systems, AI agents, and cloud-native platforms using React, Next.js, .NET Core, Python, FastAPI, LangChain, and AWS — end-to-end from architecture to deployment.

Full-Stack EngineeringReact · Next.js · Angular · .NET · NestJS · Node.js
AI & GenAI EngineeringLLMs · RAG · AI Agents · LangChain · MCP · Python
Cloud & DevOpsAWS Certified · Docker · CI/CD · Microservices · Azure
Database & BackendPostgreSQL · MongoDB · Redis · FastAPI · REST APIs
50+

Satisfied Clients

40+

Completed Projects

10+

Years Experience

70+

Websites Launched

Why Work With Me?

Production AI, Not Just Demos

I build AI systems that ship: RAG pipelines, LLM agents with tool calling, MCP integrations, and AI-powered SaaS — designed for reliability, cost efficiency, and real user workflows.

End-to-End Ownership

From database schema and API design to React frontends, Python AI services, AWS deployment, and CI/CD — I own the full product engineering lifecycle without handoff gaps.

Architecture-First Thinking

I choose the simplest architecture that meets the requirement, then add complexity only when the business demands it — scalable, maintainable, and cost-conscious by default.

Current Focus

Generative AILLM ApplicationsRAG SystemsAI AgentsMCPPython & FastAPILangChain & LangGraphAWS ArchitectureSystem DesignDocker & CI/CDProduction AI Systems

Questions about Rakesh Kaklotar

Direct answers about experience, availability, and how to get in touch.

Who is Rakesh Kaklotar?

Rakesh Kaklotar is a Senior Full Stack and AI Engineer in Surat, Gujarat, India. He has 10+ years of experience building SaaS products, RAG systems, AI agents, and AWS cloud platforms with React, Next.js, .NET Core, Python, FastAPI, and LangChain.

What does Rakesh Kaklotar specialize in?

Rakesh Kaklotar specializes in production full-stack engineering and applied AI. He builds SaaS platforms, RAG systems, AI agents with tool calling, Python and FastAPI services, and cloud-native systems on AWS, using React, Next.js, .NET Core, and LangChain.

Where is Rakesh Kaklotar based?

Rakesh Kaklotar is based in Surat, Gujarat, India, and works with clients remotely worldwide.

Is Rakesh Kaklotar available for freelance or remote work?

Yes. Rakesh Kaklotar is open to freelance, contract, and remote roles in senior full-stack engineering, AI engineering, and cloud engineering.

What AI technologies does Rakesh Kaklotar use?

Rakesh Kaklotar builds production AI systems with LangChain, LangGraph, LlamaIndex, retrieval-augmented generation, vector search, AI agents, the Model Context Protocol, and the OpenAI and Anthropic APIs.

What cloud certifications does Rakesh Kaklotar hold?

Rakesh Kaklotar holds the AWS Certified Solutions Architect — Associate certification from Amazon Web Services.

Which products has Rakesh Kaklotar shipped?

Rakesh Kaklotar has shipped production products including Ask Babu (https://www.askbabu.ai/), Dreamclean (https://www.hemfrid.se/dreamclean), Showroom.fm (https://showroom.fm/), SiteGaps (https://sitegaps.com/), ReUp (https://www.reup.live/), Notifyre (https://notifyre.com/us), Bakpak (https://bakpak.ai/), Swan Aquatics (https://swanaquatics.com/).

How can I contact Rakesh Kaklotar?

Contact Rakesh Kaklotar by email at rakesh@kaklotar.com, on LinkedIn at https://www.linkedin.com/in/rakesh-kaklotar, or through the contact form at https://rakesh.kaklotar.com/#contact.

Contact Rakesh