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English
$
USD
I will integrate chatgpt or claude ai into your app or website
Ananthakrishnan
About this gig
Want to add AI to your app without a fragile, half-working demo? I integrate ChatGPT, Claude, and other LLMs into your existing product or backend, with clean, tested, production-ready code.
I'm a backend and AI engineer with 5+ years of experience. I built a full RAG platform solo on FastAPI and pgvector, shipped AI features with tool calling and safety guardrails, and cut LLM costs by up to 90% with prompt caching, so your feature stays cheap to run.
What you can order:
- Basic: one LLM feature (text generation, summary, Q&A, classification, or a chat endpoint) wired into your app.
- Standard: a RAG assistant grounded in your own data, with vector search and conversation memory.
- Premium: a production AI agent with tool calling on your APIs, structured outputs, streaming, and safety guardrails.
Works with Python (FastAPI), Java (Spring Boot), Node, and most stacks. Add-ons available for extra features and priority support.
Message me before ordering with your stack and what you want the AI to do, and I'll confirm the scope and the right package. Fast replies, clear communication, clean handoff.
Get to know Ananthakrishnan
Ananthakrishnan
Backend and AI Engineer specializing in LLM, RAG, and Deployment
- FromUnited States
- Member sinceAug 2026
- Avg. response time1 hour
Languages
English, Malayalam, Tamil, Hindi, Arabic
Backend & AI engineer, 5+ years shipping production systems. I add AI to existing apps: LLM features, RAG assistants grounded in your data, and tool-calling agents that take real actions (Claude, GPT-4o, FastAPI, Spring AI). I also deploy apps end-to-end with Docker, CI/CD, Terraform, and AWS. Recent work: built a full RAG research platform solo on FastAPI + pgvector, cut LLM costs ~90% with prompt caching, and ran enterprise microservices on AWS ECS Fargate. Clean, tested, documented code and clear communication. Message me before ordering so I can scope your project and confirm fit.
My Portfolio
FAQ
Do you work with OpenAI/ChatGPT and Claude (Anthropic)?
Yes, both, plus other major LLMs. I've shipped production integrations with OpenAI GPT-4o and Anthropic Claude. If you're unsure which fits your use case and budget, tell me your goal and I'll recommend one and explain the tradeoffs.
Will this work with my existing code and tech stack?
Yes. I integrate into your current codebase instead of rebuilding it. I work regularly with Python/FastAPI and Java/Spring Boot, plus Node and most common stacks. Share your repo and I'll confirm it's a fit before you order.
What do you need from me to get started?
Access to your code or repo, a short description of what the AI should do, and your LLM API key. For a RAG assistant, also the documents or data to ground on. I'll send a short checklist once we've scoped the work.
Whose API keys are used, and who pays the usage cost?
You own the API keys and pay usage directly to the provider, so you keep full control with no markup. I optimize prompts and use caching where possible to keep your running costs low.
Not sure which package you need?
Message me first. Roughly: Basic = one AI feature; Standard = an assistant grounded in your own data (RAG); Premium = an agent that takes actions via your APIs. Tell me your goal and I'll point you to the right tier or send a custom offer.
Q6: Will I get the source code, and can my team maintain it?
Yes. You get all the source code, cleanly written and commented, plus notes on how it works. I explain the integration so your team can maintain and extend it. Nothing is locked to me.
Is my data kept confidential?
Yes. I only use your data to build and test your integration, never for anything else, and I'm happy to sign an NDA. For RAG, your documents stay in your own database/infrastructure.
Can you make my AI feature cheaper to run?
Often, yes. On past projects I've cut LLM costs up to 90% using prompt caching, model routing, and tighter prompts. Tell me your current setup and I'll suggest where costs can come down.
