I will build the scalable backend that powers your ai product

S
ssparmar8
S
ssparmar8
Shyamsinh

Level 1

build the scalable backend that powers your ai product
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build the scalable backend that powers your ai product
Full Screen
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build the scalable backend that powers your ai productbuild the scalable backend that powers your ai productbuild the scalable backend that powers your ai product

About this gig

I build production REST APIs on Node.js: the backend that actually holds up when real traffic hits it, with AI features wired in properly instead of bolted on.


WHAT YOU GET

A REST API on Node.js and Express, built to your data model

PostgreSQL schema design, migrations and query optimization

Authentication, role-based access and input validation done right

AI integration where it earns its place: OpenAI-backed endpoints, embeddings, summarization, RAG over your own data

Clean documentation so another developer can pick this up without me


I have shipped backends for a healthcare EMR platform, a legal document intelligence system, and a voice AI platform serving businesses in 12+ languages. This is not a first API.


STACK

Node.js, Express, PostgreSQL, OpenAI, Docker, AWS.


Tell me what the API needs to do and what it talks to, and I will scope it properly before we start.

  • Expertise

    • Algorithms & Data structures
    • Debugging
    • Performance
    • Security
    • Databases

  • Programming language

    • JavaScript

  • Frontend framework

    • Next.js
    • React.js

  • Backend framework

    • Django
    • Express.js
    • Flask
    • Node.js

Get to know Shyamsinh

Shyamsinh

AI and Backend Architect, Voice AI, RAG and LLM Systems

5.0(6)

Level 1

  • FromIndia
  • Member sinceJun 2017
  • Last delivery4 months

  • Languages

    Hindi, Gujarati, English
I design and ship production AI systems — voice agents, RAG pipelines, and the backends under them. 8+ years, 20 delivered systems across healthcare, legal, compliance and fintech. Recent: a voice-AI platform in 12+ languages; legal document extraction with passage-level citation; an AI phone agent booking on a live clinical calendar; a Bedrock agent querying Redshift inside Teams. Stack: OpenAI, Claude, LangChain, Pinecone/pgvector, Python, Node.js, PostgreSQL, AWS (Lambda, Bedrock, Lex), Twilio, ElevenLabs. Most clients come to me when a prototype has to become production.

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