You will get a production-ready RAG pipeline or AI-powered API using FastAPI and Python
Rising Talent
Project details
I build production-ready RAG (Retrieval-Augmented Generation) pipelines and AI-powered APIs using FastAPI, LangChain, and vector databases like Pinecone or ChromaDB. Whether you need a document Q&A system, an internal knowledge search tool, or a custom AI backend for your app, I deliver clean, scalable solutions.
My stack: Python, FastAPI, LangChain, OpenAI API, Pinecone/ChromaDB, React. I've built RAG systems that process PDFs, web content, and structured data to power intelligent chatbots and search tools.
Every delivery includes source code, API documentation, deployment guide, and a walkthrough. No black-box solutions — you own everything.
My stack: Python, FastAPI, LangChain, OpenAI API, Pinecone/ChromaDB, React. I've built RAG systems that process PDFs, web content, and structured data to power intelligent chatbots and search tools.
Every delivery includes source code, API documentation, deployment guide, and a walkthrough. No black-box solutions — you own everything.
Programming Languages
Python, TypeScriptWhat's included
| Service Tiers |
Starter
$199
|
Standard
$399
|
Advanced
$699
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 2 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
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SV
Sahil V.
Mar 20, 2026
Build AI-Powered Social Media Scheduler
Working with him was honestly a great experience. He went above and beyond what I expected, the whole system runs super smoothly, and you can tell he’s put a lot of thought into how everything’s built, especially the backend and infrastructure.
What stood out to me was how smartly he optimized everything. Instead of adding extra paid tools, he used open-source options and self hosted n8n, which saved costs without cutting corners. I really appreciated that level of practicality.
Took the time to hop on a call and walk me through the entire setup, shared clear documentation, and made sure I understood.
Overall, he’s easy to work with, communicates clearly, and genuinely cares about doing quality work. I’d definitely love to work with him again.
What stood out to me was how smartly he optimized everything. Instead of adding extra paid tools, he used open-source options and self hosted n8n, which saved costs without cutting corners. I really appreciated that level of practicality.
Took the time to hop on a call and walk me through the entire setup, shared clear documentation, and made sure I understood.
Overall, he’s easy to work with, communicates clearly, and genuinely cares about doing quality work. I’d definitely love to work with him again.
SV
Sahil V.
Feb 28, 2026
Build AI-Powered Social Media Scheduler
Exceptional developer.
Delivered a 30-day scope in 5 days with clean architecture and major infrastructure cost optimization.
Proactive, strategic, and explains systems clearly.
Highly recommended.
Delivered a 30-day scope in 5 days with clean architecture and major infrastructure cost optimization.
Proactive, strategic, and explains systems clearly.
Highly recommended.
About Ayush
Full-Stack AI & Infrastructure Engineer
Delhi, India - 10:52 pm local time
That depth shows in how I architect systems, not just how I type.
━━ WHAT I BUILD ━━
→ AI Agents & LLM Systems
OpenAI, Claude (Anthropic), LangGraph, LangChain, VertexAI
RAG pipelines (FAISS, pgvector), multi-agent orchestration,
document intelligence, automation flows
→ Full-Stack Web Applications
Next.js · React · TypeScript · Tailwind CSS · Framer Motion
REST APIs, real-time features (WebSockets), SEO-optimized, mobile-first
→ Backend & Data Infrastructure
Python · FastAPI · PostgreSQL · TimescaleDB · Redis · SQLAlchemy
Async pipelines, WebSocket servers, Prometheus monitoring
→ Cloud & DevOps
GCP (Vertex AI, Cloud Functions, Compute Engine)
Azure · DigitalOcean · Docker · GitHub Actions · Linux
CI/CD pipelines, self-hosted open-source (n8n, Ollama, vLLM)
→ Dev Tooling I Actually Use
VS Code · Cursor · Claude · OpenAI API · GitHub Copilot
━━ PROOF ━━
• Delivered a 30-day scope in 5 days — client's words, not mine
• Built a 176K+ diamond e-commerce platform (Next.js + Razorpay + Supabase)
• Real-time market scanner processing 500+ ticks/second
• CRM/retention automation engine (live, multi-tenant SaaS)
━━ HOW I WORK ━━
You talk to one person. I handle architecture, backend, frontend, and deployment.
No handoffs, no miscommunication, no bloated timelines.
I quote honestly and I don't pad hours. If I can build it faster with an
open-source alternative that saves you money, I will (and I'll tell you why).
━━ BEST FIT FOR ━━
✔ AI agent / automation projects
✔ Full-stack SaaS products
✔ Backend APIs & data infrastructure
✔ Founders who need a technical co-builder, not just a coder
✔ Rescuing stalled or overbuilt projects
If you have a complex system to ship and need it done right — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Ayush can start the project.
Delivery time starts when Ayush receives requirements from you.
Ayush works on your project following the steps below.
Revisions may occur after the delivery date.
Build RAG Pipeline & API
Set up vector DB, ingest your data, build retrieval chain with LangChain, expose via FastAPI, and integrate with your frontend or platform.